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Atlassian offers flexible work locations (office, home, or hybrid) and hires globally wherever there is a legal entity. The Senior Support Engineer role focuses on improving customer experience through preventative projects, mentoring, and resolving global technical issues, often coordinating with other support centers and requiring APAC business hours unless other demands arise. Responsibilities include managing or advising on customer escalations, guiding customers to resolution using available resources, understanding escalation channels, sharing product roadmap knowledge, and facilitating release readiness feedback to the Dev team. Required competencies include customer focus, effective communication, adaptability, teamwork, and process reengineering. Qualifications include 10+ years in customer support, 4-8+ years in a highly technical, customer-facing role, advanced troubleshooting across multi-product environments and large-scale deployments, 24x7 support experience, mentoring and training, and familiarity with Jira/Confluence.

Atlassian offers flexible work locations: office, home, or a hybrid arrangement, so employees can balance family, personal goals, and other priorities. They hire in any country where they have a legal entity, with an office in Bengaluru but remote-work options across India for eligible candidates. They are seeking a customer champion to drive improvements across product and operations, focusing on enhancing the broader customer experience and having a visible global impact. The role is a lead level III support engineer within the Enterprise Support team, working with Atlassian offices globally to improve support capabilities, capacity, and quality for the largest customers. Responsibilities include reporting to the Enterprise Support Manager, performing root cause analysis, debugging and troubleshooting across multiple Atlassian products, and participating in customer-facing calls to communicate progress updates, action plans, and resolution details.

Atlassian offers flexible work arrangements—office, home, or a hybrid model—and hires in any country where they have a legal entity, with a Bengaluru office but remote work allowed across India. This flexibility is designed to help Atlassians support their family, personal goals, and other priorities. They’re looking for a customer champion who drives agreement and improvement across product and operations to enhance the overall customer experience with a visible global impact. The role is a lead level III support engineer in the Enterprise Support team, delivering advanced support and product expertise to the largest customers and working with Atlassian offices worldwide, reporting to the Enterprise Support Manager. Responsibilities include performing root cause analysis, debugging, and troubleshooting across multiple Atlassian products, and participating in customer-facing calls to provide progress updates, action plans, and resolution details.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. The role involves using professional communication to resolve application issues, diagnosing and debugging code, explaining root causes, and guiding customers to resolution with logic. Responsibilities include creating knowledge-base articles, handling escalations, prioritizing tickets, and collaborating with development and product teams to convey customer needs and urgency. The position aims to develop into a highly skilled support engineer with subject matter expertise across the Atlassian stack. Qualifications include 5+ years in technical software support, availability for 9:00 AM–6:00 PM AEDT/AEST with occasional weekend shifts, experience with JVMs, OS, databases, application servers, and strong empathy, mentoring, and communication skills.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where they have a legal entity. The role involves using professional written and verbal communication to resolve customer issues, diagnosing code errors, and guiding customers to resolution with logical explanations. Responsibilities include creating and curating knowledge-base content, handling escalations, prioritizing tickets, monitoring queue health, and building cross-functional relationships to communicate customer needs and urgency. The position also entails advocating for customers, influencing product direction through feedback, and developing expertise across the Atlassian stack, with 5+ years in a technical support role and skills in Java/J2EE, JVMs, OS, databases, app servers, networks, and strong communication and mentoring abilities. The candidate should be able to work the specified hours (9:00 AM–6:00 PM AEDT/AEST) with occasional weekend shifts, and demonstrate empathy, de-escalation, multitasking, time management, and teamwork.

Atlassian offers flexible work options—office, remote, or hybrid—to help employees balance family, personal goals, and priorities. They hire in any country where they have a legal entity. Engineers build and ship features in a highly scalable, cross-geo distributed environment and collaborate with experienced engineers, architects, product managers, and designers in an open, collaborative culture. Code reviews emphasize readability, testing, documentation, reliability, security, and performance, and the company supports mentoring and knowledge sharing to grow teammates’ skills. Back-end services are monitored with full visibility and error reporting, and work follows Agile processes including daily stand-ups, sprint planning, retros, and show-and-tell demos.

At Atlassian, work location is flexible—employees can work in an office, from home, or a mix to support family, personal goals, and priorities. They hire people in any country where they have a legal entity. Engineers build and ship features daily in a highly scalable, cross-geo distributed environment. The culture emphasizes open collaboration, code reviews focused on readability, testing, documentation, reliability, security, and performance, along with mentoring and knowledge sharing. Teams ensure full visibility, error reporting, and monitoring of backend services, and they participate in Agile practices like daily stand-ups, sprint planning, retrospectives, and show-and-tell demos.

Atlassian allows employees to choose where they work—office, home, or a mix—to support family, personal goals, and other priorities. They hire in any country where they have a legal entity. They are seeking a Senior Site Reliability Engineer to join the Jira SRE team, which owns the infrastructure, tooling, and automation for Jira Cloud and understands how it uses infrastructure to meet customer reliability expectations. The ideal candidate is a technical leader with awareness of current industry trends in reliability, experience mentoring others, and a strong background in modern cloud infrastructure, programming, and operations, with a desire to challenge the status quo. The role involves analyzing and improving services and processes to achieve higher reliability, performance, scalability, and cost efficiency, and reports directly to the Senior Engineering Manager.

Atlassian offers flexible work options—office, home, or a hybrid setup—to help employees balance family, personal goals, and other priorities. They hire in any country where they have a legal entity. They’re seeking a Senior Site Reliability Engineer to join the Jira SRE team, which owns the infrastructure, tooling, and automation that Jira Cloud runs on. The ideal candidate is a technical leader with mentoring skills, awareness of current reliability trends, and deep experience in modern cloud infrastructure, programming, and operations who wants to change the status quo. The role involves analyzing and improving services and processes to achieve higher reliability, performance, scalability, and cost efficiency, and you will report to the Senior Engineering Manager.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally in countries where it has a legal entity. The text outlines two privacy-focused roles (Senior Risk & Compliance Engineer - Privacy and Senior Risk & Compliance Program Manager - Privacy) within the company's governance, risk, and compliance (GRC) framework. These roles require deep expertise in privacy regulations and risk management and involve collaborating with Security, Engineering, Legal, Product, and Compliance to embed privacy by design and governance across the organization. Responsibilities include delivering privacy expertise and innovation, driving privacy governance and risk management, leveraging data analytics and visualization, promoting automation, and proactively identifying and mitigating privacy risks while ensuring continuous improvement. They also entail aligning stakeholders, supporting privacy-informed leadership decisions, and staying current with GDPR, CCPA, and APPI to mitigate regulatory and reputational risk.

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where they have a legal entity. The Senior Risk & Compliance Engineer - Privacy and the Senior Risk & Compliance Program Manager - Privacy are responsible for implementing and managing Atlassian’s privacy compliance within the GRC framework, requiring deep expertise in privacy regulations and cross-functional collaboration with Security, Engineering, Legal, Product, and Compliance. They focus on maintaining a strong privacy posture, identifying and mitigating privacy risks, integrating privacy governance into business decisions, and promoting privacy by design and by default through guidance and innovative methodologies. They leverage data analytics and visualization to derive actionable privacy insights, promote automation and tooling, and implement privacy controls across the organization with continuous improvement and rapid adaptation to regulatory developments. They stay up-to-date on privacy regulations (e.g., GDPR, CCPA, APPI) to ensure practices remain compliant and to mitigate legal and reputational risks.

- Atlassian offers flexible work options (in-office, remote, or hybrid) and hires people in any country where it has a legal entity. - The Senior Risk & Compliance Engineer - Privacy role will implement and manage privacy compliance within the broader GRC framework, requiring deep privacy expertise and collaboration across Security, Engineering, Legal, Product, and Compliance. - The Senior Risk & Compliance Program Manager - Privacy focuses on maintaining a strong privacy posture, managing privacy risks, and supporting leadership with privacy-informed decisions, embedding privacy by design across the business. - Key duties include delivering privacy expertise, driving governance, risk, and compliance initiatives, leveraging data analytics and visualization to derive actionable insights, promoting automation and tooling, and proactively identifying and mitigating privacy gaps. - The role also involves cross-functional collaboration, ongoing evaluation of privacy controls, stakeholder alignment, and staying up-to-date with GDPR, CCPA, APPI and related requirements to ensure compliant practices and mitigate risks.

Atlassian offers flexible work options—office, home, or a hybrid approach—and hires in any country where there is a legal entity, giving employees more control over family and personal priorities. The Senior Risk & Compliance Engineer - Privacy and the Senior Program Manager - Privacy play key roles in implementing and managing Atlassian's privacy compliance strategy within the GRC framework, requiring deep privacy expertise and cross-functional collaboration with Security, Engineering, Legal, Product, and Compliance teams. They drive privacy governance, risk, and compliance management, deliver privacy expertise, promote industry-leading methodologies for privacy by design and by default, and use data analytics and visualization to derive actionable insights. They promote automation and tooling, proactively identify and mitigate privacy risks, implement cross-functional privacy controls, and regularly evaluate controls to adapt to evolving regulatory developments. They must influence stakeholders, align with business leaders on privacy initiatives, and stay informed on regulatory requirements (e.g., GDPR, CCPA, APPI) to maintain compliance and mitigate legal and reputational risk.

Atlassian offers flexible work options—office, home, or a mix—and hires globally in any country where it has a legal entity. The Senior Risk & Compliance Engineer - Privacy role is instrumental in implementing and managing the company’s privacy compliance within the broader GRC framework, requiring deep expertise in privacy regulations and cross-functional collaboration with Security, Engineering, Legal, Product, and Compliance teams. The Senior Risk & Compliance Program Manager - Privacy focuses on maintaining Atlassian’s privacy posture, managing privacy risks, supporting leadership in privacy-informed decisions, and ensuring privacy governance is integrated into all aspects of the organization with privacy by design and by default. These roles drive privacy governance, risk, and compliance management while leveraging data analytics and visualization to derive actionable insights and present complex metrics to support strategic decisions. They promote automation and tooling, proactively identify and mitigate privacy risks, regularly evaluate the effectiveness of controls, align stakeholders across the business, and stay informed on evolving privacy regulations (e.g., GDPR, CCPA, APPI) to mitigate legal and reputational risks.

- Atlassians can choose where they work—office, home, or a hybrid arrangement— and the company hires in any country with a legal entity. - The Senior Product Manager will own end-to-end design and delivery of out-of-the-box vertical solutions for Atlassian’s Service Collections ESM products, including pre-configured packages with workflows, dashboards, automation, and data models for ITSM, ITAM, and HRSM. - Responsibilities include defining and prioritising OOTB solutions based on customer data and insights, and collaborating with engineering, design, marketing, and go-to-market teams to deliver on time with clear stakeholder alignment. - The role leverages standardized data structures and templated components and integrates Atlassian platform capabilities—such as automation, analytics, and AI agents—to drive enterprise customer efficiency. - It also involves gathering and acting on customer feedback, communicating vision and progress, championing best practices and a culture of learning, and transforming OOTB offerings into best-practice, opinionated solutions that enable rapid value realization and scale.

At Atlassian, you can work in an office, from home, or in a hybrid setup, giving you flexibility to support family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. As a Senior Product Manager, you will own end-to-end design and delivery of out-of-the-box vertical solutions for Atlassian’s Service Collections ESM products, including pre-configured packages for ITSM, ITAM, and HRSM. You will define and prioritise OOTB solutions using data and customer insights, collaborate with engineering, design, marketing, and go-to-market teams, and ensure on-time delivery with aligned stakeholders. You will leverage standardized data structures and templated components, integrate Atlassian platform capabilities such as automation, analytics, and AI agents, gather feedback to iterate, and ultimately transform Service Collection OOTB offerings into best-practice, opinionated solutions that enable rapid value realization and scalable service management, while fostering a culture of learning and transparency.

As a Senior Product Designer, you will shape the design strategy and execution for Atlassian’s Marketplace within the ecosystem that lets customers extend and customize Atlassian products using Forge-built apps listed on the Marketplace. The role involves designing experiences that help customers discover, evaluate, and adopt apps while equipping partners with tools and insights to grow their businesses. Responsibilities include collaborating with product managers, engineers, and other designers to create user-centric designs, developing prototypes to influence roadmaps, leading end-to-end design projects, using data-driven insights to iterate, maintaining scalable patterns, and gathering feedback from customers and partners. Qualifications include 5+ years of professional product design experience, a strong portfolio in user-centered, interaction, and visual design, proficiency in Figma (tokens, variables, prototypes, animation), experience working in agile environments with cross-functional teams, excellent communication, and the ability to conduct user research; AI fluency is nice to have. Atlassian offers flexible work arrangements (office, home, or hybrid) and can hire in any country where we have a legal entity.

As a Senior Product Designer, you will shape the design strategy and execution for Atlassian’s Marketplace within the Atlassian Ecosystem and Forge, helping customers discover, evaluate, and install apps. You will influence the Marketplace’s evolution by promoting design excellence, own the end-to-end experience of a critical product area, collaborate with engineers, product managers, and designers, and champion a world-class user experience aligned with Atlassian’s mission. Atlassian offers flexible working options—office, home, or a mix—and hires in any country where the company has a legal entity. Responsibilities include collaborating with product managers and engineers to create user-centric designs, developing prototypes to shape roadmaps, leading projects from concept to execution, using data-driven insights, maintaining scalable patterns, and gathering feedback from customers and partners. Qualifications include 5+ years of professional product design experience, a strong portfolio across user-centered, interaction, and visual design, proficiency in Figma (tokens, variables, prototypes, animation), experience in agile teams, excellent communication, and the ability to conduct user research, with AI fluency as a nice-to-have.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where the company has a legal entity to support personal goals and priorities. The role focuses on end-to-end experiences across all design phases, from problem definition and research through UI implementation, rather than on individual features. You’ll work on experiences at scale for more than 1 million users, with substantial ownership across the entire design process and collaboration with engineers, product managers, marketing experts, and analysts. You’ll be a true champion for users and, in line with Atlassian's mission to be an experience-led company and its core customer-centric values, help inspire a diverse design team to do their best work. Required background includes 8+ years of UX/product design with a strong portfolio (including AI-driven or complex data experiences), excellent cross-functional communication, self-motivation and autonomy, a system mindset, and domain knowledge in service management or customer support; Jira Service Management (JSM) is Atlassian's fastest-growing product built on Jira, providing incident management, self-service, SLAs, and an AI-first IT service desk.

Atlassian supports flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. The role emphasizes designing end-to-end experiences across all design phases, with impact on over 1 million users and collaboration across engineering, product, marketing, and analytics. You’ll own the design process and work with partners to define the end-to-end experience for a critical area, alongside your content design counterpart. Ideal candidates have 8+ years of UX/product design experience, strong cross-functional communication, a customer-centric mindset, autonomy, and the ability to balance user needs with business and technical feasibility; domain knowledge in service management or customer support and AI product experience are a plus. Jira Service Management (JSM) is Atlassian’s fastest-growing product built on Jira, providing a single platform to track service requests with incident management, self-service, SLAs, and an AI-first IT service desk.

Atlassian offers flexible work locations—office, from home, or a mix—so employees can better support family, personal goals, and other priorities. The company hires people in any country where it has a legal entity. The TPM role focuses on staying current with AI and Search innovations, partnering with engineering to translate them into practical platform evolution, and defining a long-term strategy and roadmap based on business objectives and customer needs. Responsibilities include translating business objectives into technical problems, defining programs (such as capacity planning, migrations, high availability, and performance/reliability improvements), and managing the full lifecycle and cross-functional dependencies of these programs with engineers and architects. Requirements include 8+ years in software teams in roles like Development Manager or TPM, deep AI/Search domain experience, ability to translate objectives into technical programs, strong leadership and communication skills, and a preferred BS in Software Engineering or Computer Science; TPMs do not need to write code but should understand system flows, architectures, and APIs.

At Atlassian, you can work from an office, from home, or a combination, and the company hires in any country where it has a legal entity. The TPM role involves staying current on AI and Search innovations and partnering with engineering to translate them into practical platform evolution that delivers value to customers. You’ll analyze business objectives, customer needs, adoption inhibitors and opportunities, and industry trends to define a long-term strategy and roadmap, translating goals into prioritizable technical problems and specific programs (e.g., capacity planning, migrations, high availability, network, performance, reliability). You’ll take a systematic approach to engineering problems, own the full lifecycle of these programs (initiation, forecasting, budgeting, scheduling), and manage complex dependencies across the company while partnering with engineers and architects to drive progress. Minimum qualifications include 8+ years of experience in software roles leading technical platform efforts, deep AI/Search domain expertise, the ability to translate business objectives into technical programs, strong leadership and communication skills, and a preference for a B.S. in Software Engineering, Computer Science, or a related technical discipline.

Atlassian offers flexible work locations—office, home, or a mix—and hires globally in any country where they have a legal entity, supporting work-life balance and broad talent access. An ideal candidate cares deeply about builder productivity and creating simple yet powerful solutions for developers and non-developers through low-code or no-code toolsets. The role shapes the forward-looking technical direction and long-term architecture for Ecosystem and Marketplace, collaborates with product, engineering, and design leaders to align with broader departmental and Atlassian product/platform strategies, and partners with principal engineers to drive large-scale, multi-team enterprise projects. It emphasizes pragmatic advice to invest in long-term architecture while maintaining high-quality current systems and improving software construction and code reviews in an agile environment. You will be a role model and influencer across multiple seniority levels, mentoring engineers, and helping define and revise standards for operational excellence and for hiring and developing engineering talent.

Atlassian offers flexible work locations—office, home, or a hybrid—and hires globally where there is a legal entity. The ideal candidate cares deeply about builder productivity, delivering simple yet powerful solutions, with experience serving developers and non-developers through low-code or no-code tools, and is fearless in experimentation and learning from failures. In this role you will shape the forward-looking technical direction and long-term architecture for Ecosystem and Marketplace, align it with Atlassian’s broader product strategy, and collaborate with product, engineering, and design leaders. You will partner with principal engineers to explore large-scale, multi-team enterprise initiatives, provide pragmatic advice to balance long-term architecture with current system needs, and improve software construction quality and code reviews. You will be a role model and mentor across multiple seniority levels, influence operational excellence standards, and be involved in hiring and developing other engineers.

At Atlassian, you can work in an office, from home, or in a hybrid arrangement, and the company hires in any country where it has a legal entity. As a Senior ML System Engineer on the AI & ML Platform team, you will develop and refine the core infrastructure that enables engineers, ML engineers, and data scientists to build, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence to address ML challenges such as dataset curation and fine-tuning open-source or proprietary LLMs. The role involves leading projects from technical design through launch, partnering with multiple teams and stakeholders to deliver AI features used by millions of customers, while performing code reviews, documentation, and bug fixes within a strong engineering culture, and mentoring junior team members. Requirements include 5+ years of experience building ML/AI infrastructure and end-to-end ML lifecycles, plus expertise in large-scale distributed system design and MLOps for continuous training, deployment, and monitoring. Desired skills encompass expert Python and ML frameworks (PyTorch, TensorFlow, JAX), familiarity with Go/Java/Scala, cloud platforms (AWS/GCP/Azure), big data processing (Spark, Ray, Dask), performance optimization, and experience with Generative AI, LLMs, and retrieval-augmented generation (RAG).

Atlassian offers flexible, location-agnostic work options and hires in any country where it has a legal entity. The Senior ML System Engineer on the AI & ML Platform team will build and refine the core infrastructure that lets engineers, ML engineers, and data scientists develop, train, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence. Responsibilities include curating high-quality ML datasets, fine-tuning open-source LLMs or leveraging proprietary LLMs, solving complex infrastructure and architecture challenges, leading projects from design to launch, and partnering with multiple teams while mentoring junior members. On day one, you should have 5+ years of experience building ML/AI infrastructure with comprehensive ML lifecycle expertise, end-to-end systems deployment, large-scale distributed design, and strong MLOps capabilities. Preferred skills include Python and ML frameworks (PyTorch, TensorFlow, JAX), familiarity with Go/Java/Scala, cloud platforms (AWS/GCP/Azure), big data tools (Spark, Ray, Dask), and experience with Generative AI, LLMs, and retrieval-augmented generation.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. As a Senior ML System Engineer on the AI & ML Platform team, you’ll build and refine the core infrastructure that enables engineers and data scientists to create, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence to solve ML challenges, including curating datasets and fine-tuning open-source or proprietary LLMs. The role involves leading projects from technical design to launch, delivering cutting-edge AI features used by millions, and performing code reviews, documentation, and bug fixes while partnering across engineering teams and mentoring junior members. Requirements include 5+ years of experience in building ML/AI infrastructure and comprehensive ML lifecycle expertise, plus large-scale distributed systems design and MLOps/automation. Preferred skills include Python and ML frameworks (PyTorch, TensorFlow, JAX), familiarity with Go/Java/Scala, cloud platforms (AWS/GCP/Azure) with AI services, big data tools (Spark/Ray/Dask), performance optimization, and experience with Generative AI systems and retrieval-augmented generation.

Atlassian is launching a Self-Hosted Kafka Infrastructure team to migrate away from costly cloud-managed solutions, aiming to own, manage, and scale hundreds of Kafka clusters across a global multi-cloud Kubernetes environment to reduce costs, improve control, and boost performance. The role is a founding Senior Engineering Manager who will lead the strategic build-out and migration to a self-hosted Kafka platform, requiring deep distributed systems expertise and compassionate leadership, and will define the architecture and lead the team to deliver a Control Plane that automates the lifecycle of hundreds of global Kafka clusters. Key technical responsibilities include Control Plane development to automate provisioning, scaling, upgrading, and self-healing; migration execution from cloud-managed solutions; guidance on Kafka internals such as KRaft migration, partition rebalancing, and tiered storage; and managing stateful streaming workloads on Kubernetes across multi-cloud regions. People management and culture responsibilities involve empathetic leadership to mentor senior engineers, establish operational excellence, and maintain healthy on-call rotations. Cross-organization collaboration includes partnering with Product Engineering, Data Platform, and AI/ML teams to optimize streaming architecture, reduce latency and cost, and advocating for clients by tuning producers and consumers during migration.

Atlassian is launching a Self-Hosted Kafka Infrastructure team to migrate from costly cloud-managed solutions, owning and scaling hundreds of Kafka clusters across a global multi-cloud Kubernetes environment to reduce cost, improve control, and boost performance. They seek a founding Senior Engineering Manager to lead the strategic build-out and migration to a self-hosted Kafka platform, a technical role requiring deep distributed systems expertise and compassionate leadership, who will define the architecture and deliver a Control Plane automating the lifecycle of hundreds of global Kafka clusters. Atlassian offers flexible work options—office, home, or hybrid—and hires in any country where it has a legal entity. Key responsibilities include Technical Strategy & Control Plane Engineering: design and implement the Kafka Control Plane for provisioning, scaling, upgrading, and self-healing; Migration execution; Kafka internals (KRaft migration, partition rebalancing, tiered storage); and Cloud Infrastructure management of stateful streaming workloads on Kubernetes across multi-cloud regions. Additional duties cover People Management & Culture—empathetic leadership, reducing operational toil, and healthy on-call rotations—and Cross-Organization Collaboration, partnering with Product Engineering, Data Platform, and AI/ML teams to optimize streaming architecture and support client services migration by tuning producers and consumers.

At Atlassian, employees can choose to work in an office, from home, or a hybrid arrangement, giving them more control to support family, personal goals, and other priorities, and the company hires in any country where it has a legal entity. The India team is growing rapidly, expanding from 0 to over 20 engineers in less than a year, and they are seeking a technical leader to drive this expansion. The Senior Engineering Manager will lead recruiting and build a high-performing team to contribute to high-scale PostgreSQL and OpenSearch platforms on Kubernetes, supporting hundreds of millions of databases with high availability and performance. Responsibilities include delivering high-quality software, growing individuals and grooming leaders, contributing to architecture, and working with leadership and partners to strategize roadmaps and provide high-quality solutions with clear OKRs and expectations. The role also involves identifying blockers, managing projects, processes, partners, and timelines, and hiring a diverse team of engineers from entry level to principal while leading a growing team of Tech Leads and Software Engineers.

At Atlassian, employees can choose to work in an office, from home, or in a hybrid arrangement, giving them more control over personal priorities and family needs, and the company hires in any country with a legal entity. The India team is rapidly expanding, growing from 0 to over 20 engineers in less than a year, and they’re seeking a technical leader to drive this growth. The Senior Engineering Manager will lead recruitment and build a high-performing team contributing to large-scale PostgreSQL and OpenSearch platforms on Kubernetes, supporting hundreds of millions of databases globally with high availability and performance. Responsibilities include delivering high-quality software, developing team members and leaders, contributing to architecture, and partnering to strategize a roadmap and deliver high-quality solutions while identifying blockers, goals, success metrics, and ensuring OKR/roadmap awareness. The role also involves managing projects, processes, partners, and timelines, and hiring a diverse team of engineers from entry level to principal.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, empowering employees to support family and personal goals. The role leads a team managing run-the-business operations and company-wide initiatives across multiple projects, leveraging Oracle Fusion Cloud Core Financials (OM, AR, AP, FA, GL) and ensuring projects meet OKRs. It emphasizes an AI and automation mindset, applying RPA and low-code/no-code tools to improve Finance efficiency and exposing the team to AI/ML in Finance. It operates in a best-of-breed SaaS Finance ecosystem, integrating Fusion Cloud with packages like Zuora, Coupa, Anaplan, Avalara, and Fieldglass, with a metrics-driven approach and collaboration with Internal Audit for SOX compliance. The role involves collaborating with engineers, data scientists, and Technical Product Managers to impact Finance systems’ reliability and performance across Procurement, Tax, Treasury, FP&A, Accounting, and Internal Audit, solving complex problems by understanding end-to-end processes (Quote to Cash, Procure to Pay, Record to Report) and balancing short-term wins with long-term architecture.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. In this role you’ll lead a team handling run-the-business operations and partner across engineering on company-wide initiatives spanning multiple projects. You’ll maximize Oracle Fusion Cloud Core Financials, work across modules (OM, AR, AP, FA, GL), and ensure projects meet OKRs, with an automation mindset including RPA and low-code/no-code tools and exposure to AI/ML in Finance. You’ll operate in a best-of-breed SaaS ecosystem, integrating Fusion Cloud with tools like Zuora, Coupa, Anaplan, Avalara, Fieldglass, and more, with a focus on metrics and SOX compliance in collaboration with internal teams. Your work will impact the reliability and performance of Finance systems across Procurement, Tax, Treasury, FP&A, Accounting, and Internal Audit, solving complex end-to-end problems (Q2C, P2P, R2R) while delivering short-term wins without compromising long-term architecture.

As a Senior Data Scientist in Atlassian’s App Ecosystem, you will drive insights that shape app development and customer innovation, leveraging AI technologies to empower customers and partners to build next‑generation apps on Forge. Your work will inform key metrics, identify growth opportunities, and address challenges in developer and customer adoption, ensuring the ecosystem thrives amid rapid advances in AI-powered solutions, with actionable recommendations that accelerate business success and keep Atlassian at the forefront of enterprise‑grade, AI-enabled extensibility. Atlassians can choose where they work—office, home, or a blend—and interviews and onboarding are virtual as part of being distributed‑first; this remote role is for candidates based in India and requires IST hours. You will collaborate with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others to use data to identify product development challenges, influence strategy and investment decisions, quantify opportunities, and help prioritise what to build and set goals to deliver value to people, businesses, and Meta. Analytics‑focused, you will guide teams using data and insights, develop hypotheses, apply a diverse toolkit of analytical approaches, test them, build credibility as a trusted strategic partner, work with complex data sets, and identify and measure success through goal setting, forecasting, and monitoring key product metrics to drive roadmaps in collaboration with Product and Engineering.

The role is a Senior Data Scientist in Atlassian’s App Ecosystem focused on driving insights to shape the future of app development and customer innovation, especially as AI enables customers and partners to build next‑gen apps on Forge, with emphasis on metrics, growth opportunities, and adoption challenges. You will partner with product, engineering, and data teams to deliver actionable recommendations that accelerate business success and keep Atlassian at the forefront of enterprise‑grade, AI‑enabled extensibility. Atlassian offers flexible work locations and is distributed‑first; this remote role is based in India and requires IST hours, with interviews and onboarding conducted virtually. Responsibilities include collaborating on cross‑functional product and business problems, using data to identify challenges, influence strategy, prioritize roadmaps, and ensure the products deliver value to people and businesses. Analytics focus involves guiding teams with data and insights, developing hypotheses, employing diverse analytical approaches, solving with complex data, and measuring success through goals, forecasting, KPIs, and driving product strategy and investments with cross‑functional partners.

Atlassian offers flexible work locations, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility helps Atlassians better support their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The text references the role of Product Manager for Jira Service Management. In summary, the message highlights flexible work options and global hiring, with a specific product management position noted.

Atlassian allows employees to choose where they work—an office, from home, or a combination of the two. This flexibility helps Atlassians better balance family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The text references a role of Product Manager for Jira Service Management. Overall, it highlights flexible work arrangements and global hiring with a focus on Jira Service Management roles.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a combination, and hires globally in any country where it has a legal entity. In this role, you will influence AI product feature development and roadmaps, and drive change through clear analysis and recommendations. You will collaborate with cross-functional partners, apply quantitative analysis and experimentation, and present data to develop strategies for the business—especially focused on the Atlassian Intelligence suite. You will develop hypotheses using various analytical methods and frameworks to test opportunities that could improve products and guide strategy and roadmaps. You will partner with teams to measure success with forecasting and monitoring key metrics, using data to shape product development, quantify opportunities, anticipate challenges, and ensure value for users, businesses, and Atlassian.

Atlassian offers flexible work locations—office, remote, or hybrid—and can hire people in any country where it has a legal entity. The role involves influencing AI product features and roadmaps and driving change through structured analysis and recommendations. You’ll collaborate with cross-functional partners to become a trusted strategic partner by applying quantitative analysis, experimentation, and clear data presentation to develop strategies, especially for the Atlassian Intelligence suite. You’ll define and test opportunities to improve products and guide business direction, using diverse analytical methods and frameworks to test hypotheses. You’ll work with cross-functional teams to inform and execute strategy, measure success with forecasts and key metrics, and use data to shape development and ensure the products deliver value to people, businesses, and Atlassian.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where the company has a legal entity. In this role, you will influence AI product features and roadmaps and drive impactful change through structured analysis and clear recommendations, collaborating with a diverse set of cross-functional partners to become a trusted strategic partner. You will apply technical expertise with quantitative analysis, experimentation, and data presentation to develop strategies for the business and help solve its biggest challenges, with a focus on the fast-paced Atlassian Intelligence suite of features. You will develop hypotheses using analytical approaches, frameworks, and technical methods to test them, and identify opportunities to improve products, guide business direction, and influence roadmaps through insights and recommendations. You will partner with cross-functional teams to inform, influence, and execute strategy decisions; identify and measure the success of product efforts through forecasting and monitoring of key product metrics; and use data to shape product development, quantify opportunities, and ensure the products deliver value to people, businesses, and Atlassian.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where they have a legal entity, enabling work-life balance and prioritizing personal goals. The Data Engineering team is composed of candid, capable colleagues who value ownership and collaboration, aiming to build reliable data foundations and deliver actionable insights to drive growth. As a Data Engineer, you will work with a multi-petabyte data lake in a fast-paced environment, turning vague requirements into solid technical solutions and writing code and tests. Responsibilities include partnering with product managers, engineering, analytics, and business teams to design scalable data models, build ETL pipelines into a central data warehouse, improve data quality, and implement data governance for security, privacy, and compliance. You will also adopt new technologies to enhance processing and analysis and coach junior data engineers to develop their skills.

Atlassian allows employees to work from an office, from home, or a combination, giving greater control over family, personal goals, and other priorities, and it hires in any country where it has a legal entity. Joining the Data Engineering team means working with candid colleagues who challenge each other, value strong ownership, and collaborate to build reliable data foundations and deliver accurate, actionable insights. As a Data Engineer, you will build highly reliable services to manage and orchestrate a multi-petabyte scale data lake, thrive in a fast-paced environment, and transform vague requirements into solid solutions. Key responsibilities include partnering with Product Managers, Engineering, Analytics, and business teams to design scalable data models and data extraction processes, building ETL pipelines to a central data warehouse, improving data quality, developing data governance for security and privacy, adopting new technologies, and coaching junior engineers. Overall, the role combines technical execution with mentoring and governance to enable growth through data-driven decision making.

The Cloud Support Engineer - EMEA provides multi-channel support (chat and email) for Atlassian Cloud products, with responsibilities including isolating, diagnosing, reproducing, and fixing technical issues quickly. The role requires a motivated self-starter and self-learner who has strong customer service and technical problem-solving skills and is willing to work EMEA hours and occasional weekends. Atlassian offers a fun, casual, collaborative environment guided by values such as Open Company, Play as a Team, Build with Heart and Balance, Be the Change You Seek, and Don’t #@!% the Customer. Atlassian supports flexible work locations (office, home, or both) and hires in any country where they have a legal entity. You will resolve customer configuration issues, respond to questions via email and chat, identify gaps and propose solutions, drive collaborative discussions, ensure positive experiences with Cloud products, troubleshoot, implement workarounds for bugs, and provide ad-hoc guidance to customers, internal teams, and partners on implementing Confluence Cloud or Atlassian Access.

The Cloud Support Engineer - EMEA provides multi-channel support (via chat and email) for Atlassian Cloud products, including isolating, diagnosing, reproducing, and fixing technical issues. The role requires a motivated self-starter with strong customer service and technical problem-solving skills who embraces challenges and can work EMEA business hours, with flexibility for weekend support as needed. Atlassian promotes a culture of energy, creativity, collaboration, and customer focus, with values like Open Company, Play as a Team, Build with Heart & Balance, Be the Change You Seek, and a commitment to treating customers well, plus flexible work location options. Responsibilities include resolving customer configuration issues, responding to questions by email and chat, following processes and standards, identifying gaps and opportunities, and driving collaborative discussions within the team. The role also involves ensuring positive customer experiences with Atlassian Cloud products, understanding customer use cases, troubleshooting, implementing workarounds for product bugs, and providing ad-hoc guidance to customers, internal teams, and partners on implementing Confluence Cloud or Atlassian Access.

Zendesk is hiring an Employee Service Sales Specialist to grow its Employee Service SaaS business by building relationships with decision-makers, acquiring new customers, and expanding existing partnerships. The role focuses on positioning Employee Service use cases, collaborating with the sales team across the full sales cycle, and delivering ROI analyses to support purchasing decisions. Candidates should have a BA/BS, at least 10 years in HR/IT service and operations management, at least 3 years in Employee Service sales, a proven quota record, and the ability to navigate complex multi-month sales cycles with proof-of-concept stages. The position requires strong communication, an entrepreneurial, collaborative mindset, and willingness to travel, with a hybrid work model that combines in-office and remote work. Zendesk emphasizes equal opportunity, diversity, and accommodations, notes that AI may screen applications, and provides information about accessibility and EEO rights.

The Senior Product Manager will own and execute Salable's end-to-end product strategy, translating monetization and product challenges into clear objectives and actionable plans. They will collaborate with engineering, design, marketing, support, and analytics to guide the product from concept to delivery, ensuring each release creates measurable value for customers and aligns with company goals. The role includes representing the product across the organization and in external conversations, making informed trade-offs based on technical foundations and the commercial landscape, and communicating vision and priorities to customers, stakeholders, and partners. A core focus is strengthening Salable’s product discipline by improving how insights are gathered, opportunities validated, roadmaps shaped, and cross-team alignment maintained as the product and company grow. Responsibilities also include setting the product vision, turning goals into plans, leading early customer and sales conversations to test direction, building an outcome-focused roadmap, prioritizing with data and constraints, guiding multiple teams through discovery and delivery, removing blockers, and establishing measurable goals with a culture of ongoing learning and improvement.

Atlassian supports flexible work locations (office, home, or hybrid), hires globally where it has a legal entity, and conducts interviews and onboarding virtually as part of a distributed-first model. The company is undergoing a transformation focused on efficiency, aiming to understand systems and cloud platforms to reduce costs while maximizing performance for customers. They are seeking an experienced Senior Principal Engineer to provide architectural oversight and technical leadership for the Resource Efficiency organization, comfortable working with senior leadership and navigating cross-organizational challenges, and to define scalable future states. The role is remote-friendly for the Pacific Time Zone and reports to the Head of Engineering for Resource Efficiency. Responsibilities include architecting and optimizing cloud infrastructure for millions of users, leading the migration of core Atlassian products to AWS/GCP, designing cost-efficient, high-performance systems for Jira and Confluence, partnering with product and other teams, driving architectural vision aligned with company OKRs, and collaborating with C-suite executives on long-term business objectives.

Atlassian allows employees to work in the office, from home, or in a hybrid arrangement, hires globally where it has a legal entity, and conducts interviews and onboarding virtually as part of its distributed-first culture. The company is undergoing a transformation focused on efficiency to reduce costs and maximize performance of cloud-based systems, using deep knowledge of its systems and cloud platforms to design scalable resource-efficient strategies. The Senior Principal Engineer for Resource Efficiency will provide architectural oversight and technical leadership, work with senior leadership on cross-organizational challenges, help define scalable future states, and report to the Head of Engineering for Resource Efficiency; the role is remote-friendly for the Pacific Time Zone. Responsibilities include architecting and optimizing cloud infrastructure for millions of users with low latency and high reliability, leading the migration of core Atlassian products to next-generation cloud platforms (AWS and GCP), designing cost-efficient, high-performance systems for Jira and Confluence, and partnering with product and engineering teams to launch innovative solutions aligned with company OKRs. The role also involves partnering with C-suite and senior leaders to align engineering efforts with long-term business objectives and leading cross-organizational initiatives that drive Atlassian’s growth and innovation.

Atlassian supports flexible work arrangements—office, home, or a combination—and hires globally where it has a legal entity, with interviews and onboarding conducted virtually as part of its distributed-first approach. The company is undergoing a transformation centered on efficiency, aiming to design systems that maximize performance while minimizing resource costs across cloud platforms for customers. The Senior Principal Engineer will provide architectural oversight and technical leadership to the Resource Efficiency organization, bringing deep experience with architecting complex cloud-scale systems and working across senior leadership and multiple teams. This remote-friendly role is Pacific Time Zone–focused, reports to the Head of Engineering for Resource Efficiency, and involves defining scalable future states while balancing long‑term vision with current business and technology challenges. Responsibilities include architecting and optimizing cloud infrastructure for millions of users, leading migration of core Atlassian products to next‑gen cloud platforms (AWS and GCP), delivering cost-efficient, high‑performance systems for Jira and Confluence, partnering with product and engineering teams, aligning work with Atlassian’s company‑level OKRs, and driving cross‑organizational initiatives with senior leadership.

Atlassian supports flexible work options—office, home, or hybrid—along with virtual interviews and onboarding, hiring globally where it has a legal entity. The company is undergoing a transformation focused on efficiency to improve performance and reduce costs for customers by deeply understanding cloud systems. They’re seeking a Senior Principal Engineer to provide architectural oversight and technical leadership for the Resource Efficiency organization, with extensive cloud-scale experience and the ability to collaborate with senior leadership across the company. The role is remote-friendly for the Pacific Time Zone and involves defining scalable architectural and organizational future states, balancing vision with current business and technology challenges, and reporting to the Head of Engineering, Resource Efficiency. Responsibilities include architecting and optimizing cloud infrastructure for millions of users, leading migrations to next-generation cloud platforms (AWS and GCP), designing cost-efficient systems for Jira and Confluence, partnering with product and engineering teams, driving architectural vision aligned with company OKRs, and collaborating with C-suite leaders on long-term objectives.

Atlassian supports flexible work locations and a distributed-first model, with virtual interviews and onboarding, and global hiring in countries where they have a legal entity. The role is remote and based in Poland, open to candidates eligible to work in that region. The future team is highly skilled, customer-focused, and holds itself accountable for product success and customer impact at scale. In this role, you will help migrate Atlassian products from On-prem to Cloud and provide migration updates during calls with customers. You will engage cross-functionally with support teams (CSMs, EAs, Devs), contribute to knowledge articles, and participate in release readiness activities.

Atlassian offers flexible, distributed work options—office, remote, or hybrid—and hires in any country with a legal entity, with virtual interviews and onboarding as part of being distributed-first; the role described is based in Poland and remote, eligible for candidates who can work in that region. The team is filled with talented, technical individuals excited to build Atlassian's service offering and customer experience, challenging one another and holding themselves accountable for products and customer success. They value interacting with customers, solving problems, and actively championing customers within Atlassian to positively impact millions of end-users. In this role you will work directly with Atlassian customers and partners to migrate their products from On-prem to Cloud, including joining calls to provide migration updates. You will engage support teams across regions and cross-functional groups within Atlassian (CSMs, EAs, Devs) for the best outcomes, contribute to knowledge articles, and participate in release readiness activities.

Atlassian offers flexible, distributed work options—employees can work from home, in an office, or hybrid, with global hiring and virtual interviews, and a Bengaluru office while enabling remote work across India. Atlassian is a global cloud leader using PostgreSQL at scale for Jira and Confluence, running millions of Postgres databases managed through AWS services. To meet evolving needs, the company is building a self-managed Postgres platform on AWS and GCP using Kubernetes and open-source technologies to pack thousands of databases into one cluster, manage connections at scale, and support custom extensions. The vision is to develop deep PostgreSQL expertise in the India team, including established PostgreSQL contributors, to drive open-source contributions and establish operational standards for schema management, upgrades, patching, and reliability. Key responsibilities include contributing to open-source projects, leading scalability and reliability initiatives for the self-managed Postgres, collaborating across teams to define strategy and deliver robust solutions, establishing best practices for distributed systems and cost optimization, and mentoring engineers toward technical excellence and open-source leadership.

Atlassian offers flexible work options—office, home, or a mix—along with virtual interviews and onboarding as part of a distributed-first approach; Bengaluru hosts the office, but eligible candidates can work remotely across India, and the company hires in any country where it has a legal entity. As a global leader in cloud collaboration and a major PostgreSQL user, Atlassian runs Jira and Confluence cloud on millions of Postgres databases managed through AWS, Aurora, and RDS, and is building a self-managed Postgres platform on AWS and GCP using Kubernetes and open-source technologies to efficiently pack thousands of databases into a single cluster and support extensive extensions. The vision is to establish deep PostgreSQL expertise within Atlassian, beginning with the India team, by assembling a group of experts—including established PostgreSQL contributors—to drive open-source contributions, set operational standards for schema management, upgrades, patching, reliability, and mentor engineers to become active contributors and thought leaders. Key responsibilities include contributing to open-source projects and representing Atlassian in the PostgreSQL community, leading initiatives to improve the self-managed Postgres’ scalability, performance, reliability, and security, and collaborating with cross-functional teams to define technical strategy and deliver robust storage solutions. The company also aims to promote best practices in distributed systems, cloud infrastructure, and cost optimization while mentoring engineers to foster technical excellence and continuous learning.

Atlassian offers flexible work options—office, home, or hybrid—and operates as a distributed-first company with virtual interviews and onboarding, hiring globally, with a Bengaluru office but remote eligibility across India. Atlassian is a global leader in cloud collaboration, with Jira and Confluence cloud products running on millions of Postgres databases managed on AWS, Aurora, and RDS. To address evolving needs, they are building a self-managed Postgres platform on AWS and GCP using Kubernetes and open-source tech to pack thousands of databases into a single cluster, manage connections at scale, and support custom Postgres extensions. The vision is to establish deep PostgreSQL expertise in Atlassian, starting with the India team, assembling a group that includes established PostgreSQL contributors to drive open-source contributions, enforce operational standards, and mentor engineers. Key responsibilities include contributing to open-source projects and representing Atlassian in the PostgreSQL community, leading initiatives to improve scalability, performance, reliability, and security of the self-managed Postgres, collaborating on technical strategy for storage challenges, promoting best practices in distributed systems and cost optimization, and mentoring engineers toward technical excellence and open-source leadership.

Atlassian offers flexible work locations—office, home, or hybrid—with virtual interviews and onboarding as part of its distributed-first approach, and hires in any country with a legal entity, including remote roles across India from its Bengaluru office. It is a global leader in cloud collaboration and a major PostgreSQL user, with Jira and Confluence cloud products running on millions of Postgres databases managed via AWS, Aurora, and RDS. To meet evolving needs, Atlassian is building a self-managed Postgres platform on AWS and GCP using Kubernetes and open-source tech, designed to pack thousands of databases into a single cluster, manage connections at scale, and support custom Postgres extensions. The vision is to establish deep PostgreSQL expertise within Atlassian, starting with the India team, by hiring established PostgreSQL contributors who will drive open-source work and set standards for schema management, upgrades, patching, and reliability. They will mentor engineers to become active open-source contributors and thought leaders, lead initiatives to improve scalability, performance, reliability, and security of the self-managed Postgres, collaborate with cross-functional teams on storage challenges, and promote best practices in distributed systems, cloud infrastructure, and cost optimization.

Atlassian offers flexible working options—office, home, or hybrid—and hires globally with virtual interviews, with its office in Bengaluru and remote-work flexibility across India. As a cloud collaboration leader, Atlassian relies on PostgreSQL for Jira and Confluence, running millions of Postgres databases on AWS, Aurora, and RDS, and is building a self-managed Postgres platform on AWS and GCP using Kubernetes and open-source technologies to scale thousands of databases and support extensions. The vision is to establish deep PostgreSQL expertise within Atlassian, starting with the India team, by assembling experts and established PostgreSQL contributors who will contribute to the Postgres open-source community. The initiative will set up operational standards for schema management, upgrades, patching, and database reliability, while mentoring engineers to become active open-source contributors and thought leaders. Key responsibilities include contributing to open-source projects, representing Atlassian in the PostgreSQL community, leading initiatives to improve scalability, performance, reliability, and security of the self-managed Postgres, collaborating with cross-functional teams, and promoting best practices in distributed systems, cloud infrastructure, and cost optimization.

Atlassian offers flexible work locations (office, home, or hybrid) and can hire globally where they have a legal entity, with Bengaluru as their office but remote work available across India for eligible candidates. Atlassian is a global cloud collaboration leader, with Jira and Confluence cloud products running on millions of Postgres databases managed through AWS, Aurora, and RDS. They are building a self-managed PostgreSQL platform on AWS and GCP using Kubernetes and open-source technologies to efficiently pack thousands of databases into a single cluster, manage connections at scale, and enable custom and existing Postgres extensions. The company aims to establish deep PostgreSQL expertise within Atlassian, starting with the India team, to contribute to the Postgres open-source community, set up operational standards, and mentor engineers to become active contributors and thought leaders. Key responsibilities include contributing to open-source projects, leading initiatives to improve scalability, performance, reliability, and security of the self-managed Postgres, collaborating with cross-functional teams to define technical strategy, promoting best practices in distributed systems and cloud infrastructure, and mentoring engineers toward technical excellence.

Atlassian offers flexible work options—office, home, or hybrid—with virtual interviews and onboarding as part of its distributed-first approach, and while the Bengaluru office exists, eligible candidates can work remotely across India. As a global cloud leader and a major PostgreSQL user, Atlassian powers Jira and Confluence cloud deployments on millions of Postgres databases hosted on AWS, Aurora, and RDS. To address evolving needs, the company is building a self-managed Postgres platform on AWS and GCP using Kubernetes and open-source technologies. The platform is designed to pack thousands of databases into a single cluster, manage connections at scale, and enable custom Postgres extensions, with a vision to develop deep PostgreSQL expertise within Atlassian, starting with the India team. Key responsibilities include contributing to open-source projects and representing Atlassian in the PostgreSQL community, leading initiatives to improve scalability, performance, reliability, and security of the self-managed Postgres, collaborating with cross-functional teams to define technical strategy, and mentoring engineers to establish best practices in distributed systems and cloud infrastructure.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally with virtual interviews and onboarding as part of a distributed-first approach. - The company's mission is to unleash the potential of every team, with products like Jira, Confluence, and Bitbucket that enable collaboration across diverse teams and industries, evidenced by impactful uses like NASA’s Mars rover and Cochlear’s hearing solutions. - Central AI Org drives AI innovation across Atlassian products, aiming to deliver horizontal AI capabilities, a centralized Search/Q&A/Conversational AI system, and integration of AI solutions beyond the Atlassian ecosystem. - The AI & ML Platform Team seeks to democratize AI for Atlassian’s teams, customers, and ecosystem by building productive tools to develop, deploy, measure, and operate AI/ML experiences, in alignment with security and data policies and integration with the Atlassian Data Platform. - The Principal Machine Learning System Engineer role involves leading core ML infrastructure, collaborating with product teams to solve ML challenges, curating datasets, fine-tuning LLMs, and delivering end-to-end ML solutions, with requirements including 5+ years in ML infra, MLOps, large-scale distributed systems, Python and ML frameworks, cloud familiarity, and GenAI/RAG experience.

Atlassian supports a distributed-first work model, letting employees choose office, remote, or hybrid arrangements, with virtual interviews and onboarding and global hiring wherever there is a legal entity. Atlassian’s mission is to unleash the potential of every team, anchored by Jira, Confluence, and Bitbucket to enable collaboration across diverse teams and industries, evidenced by how their tools power NASA’s Mars Rover and Cochlear’s hearing technologies. The Central AI Org is dedicated to AI innovation across all Atlassian products, building horizontal AI capabilities and infrastructure and establishing a centralized Search, Q&A, and Conversational AI system while exploring AI integrations beyond the Atlassian ecosystem. The AI & ML Platform Team strives to democratize AI by delivering tools that integrate with the Atlassian Data Platform, enabling development, deployment, measurement, and operation of AI/ML experiences with strict security and data usage policies. The Principal Machine Learning System Engineer role involves leading ML infrastructure from design to launch, collaborating with Jira/Confluence teams, curating datasets, fine-tuning LLMs, and requires 5+ years of experience in ML infrastructure, end-to-end ML lifecycle, MLOps, distributed systems, Python and ML frameworks, plus cloud, big data, and GenAI/RAG experience.

Atlassian offers flexible work options—office, home, or a hybrid setup—and hires in any country where it has a legal entity, giving employees more control over personal priorities. The role involves leading, coaching, and growing a team of Solutions Engineers for Mid-Market accounts, partnering with sales leadership to drive revenue and shape customer solutions. You’ll build repeatable processes, tools, and best practices to support a high-volume business and deepen the team’s Atlassian expertise during pre-sales to demonstrate value. You’ll engage in key customer engagements to build trust and collaborate with sales, product, and partner teams to align strategies and outcomes. The ideal candidate has proven leadership in Solutions Engineering or similar, a track record of coaching high-performing teams, the ability to scale processes, strong executive presence and customer engagement skills, and deep SaaS/Cloud knowledge; the role offers a chance to shape a growing team in Northern EMEA and contribute to Atlassian’s growth there.

Atlassian supports flexible work options and hires globally where they have a legal entity. The role leads and grows a team of Mid-Market Solutions Engineers, partnering with sales leadership to drive revenue and shape customer solutions. Responsibilities include building repeatable processes, tools, and best practices for a high-volume business, deepening Atlassian pre-sales expertise, and engaging with key customers to demonstrate value. The position requires proven leadership in technical sales, a track record of coaching high-performing teams, the ability to scale processes, strong executive presence, and deep SaaS/Cloud knowledge; collaboration with sales, product, and partner teams is also essential. Why join: a unique opportunity to shape a growing team in a high-impact Northern EMEA region and contribute to Atlassian’s growth across Northern EMEA by solving customers’ toughest challenges.

Atlassian offers flexible work location (office, home, or mix) and global hiring in countries with a legal entity. The role is to lead, coach, and grow a team of Solutions Engineers supporting Mid-Market accounts, partnering with sales leadership to drive revenue and shape customer solutions. You will build repeatable processes, tools, and best practices to support a high-volume business, strengthen the team's Atlassian software expertise during pre-sales, and engage directly with key customers to demonstrate value. Collaboration with sales, product, and partner teams to align strategies and customer outcomes is required. Qualifications include proven leadership in Solutions Engineering or similar role, success coaching high-performing teams, ability to scale processes in a fast-growing business, executive presence, and deep SaaS/Cloud knowledge; joining offers a chance to build a growing team in a high-impact Northern EMEA region and help customers solve challenges while driving Atlassian's growth.

The Observability Patronus team builds and operates Atlassian’s core observability platforms, including Grafana Mimir and self-hosted Sentry (FedRAMP), to provide reliable, scalable, and compliant monitoring that ensures the health and performance of Atlassian’s products. The Senior Software Engineer in Observability will build platforms and define practices to keep Atlassian’s products rock-solid and fast for millions of users, handling multi-petabyte data daily and delivering it within seconds. This is a platform team at the intersection of infrastructure and software engineering, building and operating ultra-high-scale metrics systems, including one of the world’s largest Mimir clusters (10x the certified load) and tackling architectural and scaling challenges. The role empowers hundreds of Atlassian engineering teams with world-class observability solutions, promotes best practices, and requires delivering clean, high-quality code while mentoring junior engineers. You’ll drive complex projects autonomously from design to launch, automate processes, improve operational excellence, reduce costs, and deliver work that improves the reliability of thousands of engineers and services.

The Observability Patronus team at Atlassian builds and operates core observability platforms like Grafana Mimir and self-hosted Sentry (FedRAMP) to provide reliable, scalable, and compliant monitoring for Atlassian products. The Senior Software Engineer in Observability role focuses on building platforms and defining practices to keep products rock-solid and fast, ingesting multiple petabytes of data daily and delivering it within seconds. It’s a platform role at the intersection of infrastructure and software engineering, requiring expertise in both, and involves building ultra-high-scale metrics systems including one of the world’s largest Mimir clusters. The job involves driving complex projects autonomously from design to launch, managing mission-critical platforms, and leading automation and cost-reduction initiatives. You’ll mentor junior engineers, promote Observability standards across Atlassian teams, and deliver work that impacts thousands of engineers and services, improving product reliability.

Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires globally in any country where it has a legal entity. The Jira AI Org drives AI innovation across Jira, aiming to make Jira smarter and more efficient while building horizontal AI capabilities and exploring integrations with external AI solutions. The Senior Machine Learning Systems Engineer role involves collaborating with software engineers, data scientists, and product managers to solve complex problems and lead projects from design to launch. Responsibilities include delivering robust ML solutions for features that reach millions, curating ML datasets, fine-tuning open-source LLMs or leveraging proprietary LLMs, and mentoring junior engineers. Required qualifications include 4+ years of ML experience, end-to-end ML systems (data engineering, model serving, monitoring), expertise with GenAI frameworks and LLMs, proficiency in Python and PyTorch/TensorFlow/JAX, familiarity with Java/Kotlin, and experience with MLOps, CI/CD, and automation for continuous training and deployment.

- Atlassian offers flexible work locations (office, remote, or hybrid) and hires in any country where it has a legal entity, helping employees support family and personal goals. - Jira AI Org aims to drive AI innovation across Jira, making it smarter and more intuitive, establishing cross-feature AI capabilities, and exploring integrations of Jira with AI solutions beyond Atlassian. - The Senior Machine Learning Systems Engineer role involves collaborating with software engineers, data scientists, and product managers to solve complex problems, leading projects from design through launch, and delivering ML features that reach millions. - Responsibilities include curating ML datasets, fine-tuning open-source LLMs, leveraging proprietary LLMs, and mentoring junior team members. - Requirements are 4+ years of experience building ML/AI solutions, end-to-end ML systems (data engineering, model serving, monitoring), expertise with GenAI frameworks and LLMs, proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), familiarity with Java/Kotlin, and experience with MLOps and CI/CD for continuous training, deployment, and monitoring.

Atlassian supports flexible work arrangements and global hiring to empower teams, with products like Jira, Confluence, and Bitbucket that enable collaboration across organizations. The company's mission is to unleash the potential of every team and help teams worldwide change the world, as seen in high-impact uses from NASA's Mars Rover to Cochlear's hearing solution. The Central AI Org focuses on AI innovation across Atlassian products, building horizontal AI capabilities and a centralized Search, Q&A, and Conversational AI system, while exploring integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI and ML by delivering tools and infrastructure that integrate with the Atlassian Data Platform and enforce security and data usage policies, enabling teams to deploy AI/ML experiences efficiently. The Senior Machine Learning System Engineer role involves developing core infrastructure for engineers and data scientists, collaborating with product teams, curating datasets, fine-tuning open-source LLMs or using proprietary LLMs, leading projects from design to launch, and mentoring junior engineers while delivering solutions used by millions.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country with a legal entity, reflecting its mission to unleash the potential of every team. Its well-known products like Jira, Confluence, and Bitbucket support collaboration across teams and industries, with impact examples such as NASA's Mars Rover and Cochlear helping people hear. The Central AI Org drives AI innovation across Atlassian products, building horizontal AI capabilities and a centralized Search, Q&A, and Conversational AI system while exploring integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML by creating productive, reliable tools for building, deploying, measuring, and operating AI experiences, integrated with the Atlassian Data Platform and governed by security and data usage policies. As a Senior Machine Learning System Engineer, you will develop core infrastructure for ML, collaborate with Jira and Confluence teams, curate datasets, fine-tune LLMs, lead projects from design to launch, deliver AI features used by millions, perform code reviews and documentation, and mentor junior team members.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity, all aligned with its mission to unleash the potential of every team. Its products, including Jira, Confluence, and Bitbucket, support collaboration across diverse teams and have powered real-world breakthroughs such as NASA's Mars Rover and Cochlear's hearing solutions. The Central AI Org is dedicated to AI innovation across Atlassian, building horizontal AI capabilities and infrastructure while establishing a centralized Search, Q&A, and Conversational AI system and exploring integration with AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML by creating reliable tools that integrate with the Atlassian Data Platform, enabling development, deployment, measurement, and operation of AI capabilities with strong security and data usage policies. As a Senior Machine Learning System Engineer, you would help design and evolve core ML infrastructure, collaborate with Jira and Confluence teams, curate datasets, fine-tune LLMs, lead projects from design to launch, deliver solutions used by millions, perform code reviews and documentation, and mentor junior engineers.

Atlassian supports flexible work arrangements and hires globally where it has a legal entity, all under a mission to unleash the potential of every team with products like Jira, Confluence, and Bitbucket that empower collaboration across industries (including examples like NASA and Cochlear). The Central AI Org focuses on driving AI innovation across Atlassian’s products and platforms, delivering seamless AI experiences, developing horizontal AI capabilities, and establishing a centralized Search, Q&A, and Conversational AI system while exploring integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI and ML for Atlassian’s teams and ecosystem by building productive, reliable tools to develop, deploy, measure, and operate AI/ML experiences, integrated with the Atlassian Data Platform and aligned with security and data usage policies. As a Senior Machine Learning System Engineer on this team, you’ll help build the core infrastructure that enables software engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence to address their ML challenges, including curating datasets and fine-tuning open-source or proprietary LLMs. You’ll lead projects from technical design to launch, deliver cutting-edge AI features used by millions of customers, perform code reviews, documentation, and bug fixes, partner across engineering teams on company-wide initiatives, and mentor junior team members.

Atlassian lets employees choose where they work—office, home, or a hybrid—and they hire globally where they have a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. Jira is Atlassian’s flagship work-tracking product, and working on Jira Experience as an ML engineer means building the intelligence layer that orchestrates work between humans and machines. You’ll design AI that infers intent from messy, unstructured input, recommends the next best action across fragmented tools, and personalizes workflows for each team, tackling a broad problem space including large-scale retrieval and ranking, representation learning on the teamwork graph, multi-modal understanding, and human-in-the-loop systems. It’s a rare opportunity to solve hard ML problems that directly reshape how teams coordinate, collaborate, and ship work using Jira, with responsibilities ranging from technical design to launch and collaboration with Product, Engineering, and Design leads to translate requirements into solid engineering deliverables while delegating work. You’ll deliver data-driven, customer-centric features, contribute to code reviews and documentation, fix complex bugs in high-risk areas, and apply expertise in data analysis, statistics, and logical reasoning to inform decision-making and architectural standards.

Atlassian supports flexible, distributed work—employees can be in an office, from home, or a mix—and hires in any country with a legal entity, with interviews and onboarding conducted virtually. Jira is Atlassian’s flagship work-tracking product, and working on Jira Experience as an ML engineer means building the intelligence layer that orchestrates work between humans and machines, inferring intent from unstructured input, recommending the next best action, and personalizing workflows. The problem space is broad—including large-scale retrieval and ranking, representation learning on the teamwork graph, multi-modal understanding across text and video, and human-in-the-loop systems embedded in the product. This is a rare opportunity where solving hard ML problems directly reshapes how teams coordinate, collaborate, and ship work using Jira, as you tackle the largest and most complex problems from technical design to launch and translate requirements into solid engineering deliverables with Jira AI leads. You’ll deliver solutions that are data-driven and customer-centric, contribute to architecture standards, lead code reviews, documentation, and high-risk bug fixes, and apply expertise in data analysis, statistics, and logical reasoning to inform decisions.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity, giving employees greater control over family, personal goals, and priorities. You’ll join a world-class Data Science team that partners with Product Managers, Researchers, Data Engineers, Marketers, Privacy, and Executives to drive insights about products and customers. In this role, you will collaborate on diverse product and business problems with cross-functional partners and apply quantitative analysis, experimentation, and data presentation to develop strategies and solve major business challenges. You will develop hypotheses through various analytical approaches and test them, define opportunities to improve products and business, and influence roadmaps with insights and recommendations, working with cross-functional teams to inform, influence, and execute strategy decisions. You will forecast and monitor key product metrics to measure success, shape product development with data, identify opportunities and challenges, and ensure the products we build deliver value to people, businesses, and Atlassian.

Atlassian offers flexible work options, letting employees work in an office, from home, or a mix, and they hire in any country where they have a legal entity. You will be part of a world-class Data Science team that collaborates with Product Managers, Researchers, Data Engineers, Marketers, Privacy, and Executive teams to drive insights about products and customers. The team uses a range of analysis and data-science techniques to understand how customers engage with Atlassian’s products and communications, and to identify, design, and measure the success of product investments. In this role, you will collaborate on cross-functional problems, apply quantitative analysis and experimentation, develop and test hypotheses, and influence roadmaps through insights and recommendations. You will forecast and monitor key product metrics, inform strategy decisions, shape product development, identify opportunities, and ensure the products we build bring value to people, businesses, and Atlassian.

The role is a Principal Data Scientist at Atlassian’s App Ecosystem, providing strategic and technical leadership to guide analytics initiatives that help customers and partners leverage AI to build innovative apps. You’ll collaborate with product, engineering, and business leaders to inform platform strategy, drive a measurement culture, and deliver insights that accelerate ecosystem growth and the adoption of AI-powered solutions. You’ll drive projects as a tech lead or mentor data scientists, champion best practices, and foster a world-class analytics culture to keep Atlassian at the forefront of SaaS extensibility and intelligence. You will work cross-functionally across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others to use data to identify major challenges, influence strategy, prioritize what to build, set goals, and quantify opportunities. Analytics work includes guiding teams with data and insights, developing hypotheses, applying diverse analytical approaches, conducting experimentation and data mining, presenting clear insights to influence partners, and defining success metrics and roadmaps.

The role is Principal Data Scientist in Atlassian’s App Ecosystem, providing strategic and technical leadership to guide analytics initiatives and leverage emerging AI technologies for building innovative apps. You’ll collaborate with product, engineering, and business leaders to inform platform strategy, drive a measurement culture, and deliver insights that accelerate ecosystem growth and AI-powered adoption. By leading projects or serving as a tech lead, mentoring data scientists, and championing best practices, you’ll foster a world-class analytics culture and help Atlassian stay at the forefront of SaaS extensibility and intelligence. Atlassian offers flexible work arrangements and hires in any country with a legal entity; you’ll collaborate with cross-functional teams to solve problems, influence strategy and investments with data, and help prioritize what to build and set goals to support the ecosystem. Analytics responsibilities include guiding teams with data and insights, developing hypotheses, employing diverse analytical approaches, building credibility, solving complex data problems, applying quantitative analysis and experimentation, and identifying metrics and roadmaps to inform product strategy and investments.

The Rovo Mobile team is seeking an experienced principal mobile developer skilled in React Native to help build AI vision on mobile and maintain the Rovo app at Atlassian. You will collaborate with design to develop new features and workflows, assess their impact and usability, and be responsible for feature development and regular releases. The role emphasizes customer focus, delivering high-quality features and infrastructure that are fast, testable, and scalable to empower users. You will drive cross-functional collaboration with engineers, designers, and managers, contribute to code reviews and documentation, fix complex bugs, and lead projects from technical design through launch and operation. You will also onboard and mentor junior engineers.

The Rovo Mobile team is seeking an experienced principal mobile developer skilled in React Native to help build the AI vision on mobile and maintain the Rovo app at Atlassian. You will collaborate with design to develop new features and workflows, verify their impact and usability, and be responsible for feature development and regular app releases. The role emphasizes being customer-focused, building high-quality features and infrastructure that are fast, testable, and scalable to empower users. You will drive collaboration with engineers, designers, and managers to understand user pain points, contribute to code reviews and documentation, and tackle complex bug fixes. You will lead projects end-to-end—from technical design and implementation to launch and operation—and onboard and mentor junior engineers.

The Rovo Mobile team is seeking an experienced principal mobile developer familiar with React Native to help build the company’s AI vision on mobile devices and to build and maintain the Rovo app at Atlassian. You will collaborate with design to develop new features and workflows in the Rovo Mobile app and verify their impact and usability. As part of the team you will be responsible for feature development and delivering regular releases of the app. The role emphasizes customer focus, building fast, testable, and scalable features and infrastructure, and driving collaboration with engineers, designers, and managers to address user pain points. You will lead projects from technical design through implementation and launch to operation, contribute to code reviews and documentation, fix complex bugs, and onboard and mentor junior engineers.

The Rovo Mobile team is seeking an experienced principal mobile developer with React Native to help build AI vision on mobile and to build the Rovo app at Atlassian. The role involves collaborating with design to develop new features and workflows, validating their impact and usability, and delivering regular app releases. The team focuses on customer-centric experiences, choosing technologies to empower users, and building fast, testable, and scalable features and infrastructure. The engineer will drive collaboration with other engineers, designers, and managers to understand user pain points and iterate on solutions, contribute to code reviews and documentation, and tackle complex bug fixes. The position includes leading projects end-to-end from technical design and implementation to launch and operation, as well as onboarding and mentoring junior engineers.

Atlassian supports flexible work options—office, from home, or a combination—and hires in any country where it has a legal entity. The role is Principal Machine Learning Systems Engineer on the Future Team Search Platform, delivering ML-powered, low-latency search experiences across Atlassian products with scalable runtime and robust serving infrastructure. You will tackle large, complex problems from design to launch, architect systems, develop and deploy ranking models, perform feature engineering for offline training and online inference at scale, build data infrastructure, and oversee end-to-end deployment with continuous evaluation and monitoring, while leading code reviews and cross-team collaboration. The ideal candidate has 10+ years of hands-on software/tech leadership with end-to-end SDLC responsibility, experience with ML workflows and observability at scale, a proven track record of leading AI/ML products, a CS-related degree, proficiency in Java/Python/Kotlin/Go/TypeScript, cloud experience (AWS/GCP/Azure), mentoring skills, and a customer-impact mindset. Preferred qualifications include experience with OpenSearch/Elasticsearch, developer experience or productivity, online/offline experimentation, CI/CD, and 2+ years of running search systems at scale.

Atlassian supports flexible work locations and hires globally, with the Future Team Search Platform delivering fast, reliable search across all Atlassian products through scalable, low-latency infrastructure. The Principal Machine Learning Systems Engineer role combines search, machine learning, and experimentation, requiring about 70% engineering and 30% ML to deliver ML-powered solutions that affect millions of users. Responsibilities include solving large-scale technical design problems, building ranking models, feature engineering for offline and online inference, and architecting data infrastructure for high-velocity search and experimentation data, plus end-to-end production deployment with monitoring. The role also entails leading code reviews, documentation, mentoring junior engineers, partnering across teams on company-wide programs, and communicating complex concepts to stakeholders. Required background includes 10+ years of software leadership, experience with ML workflows at scale, a track record of launching AI/ML products, a CS degree, proficiency in languages like Java or Python, cloud experience, with desirable experience in OpenSearch/Elasticsearch, developer productivity, experimentation, CI/CD, and 2+ years running search systems at scale.

- Atlassian lets employees choose where to work—office, home, or a mix—and hires in any country where the company has a legal entity. - Their Future Team Search Platform powers fast, relevant, and reliable search across all Atlassian products with scalable runtime systems and robust serving infrastructure to ensure quick results. - The Principal Machine Learning Systems Engineer role sits at the intersection of search, ML, and experimentation (about 70% engineering and 30% ML), tackling large projects, designing architectures, developing ranking models, driving feature engineering at scale, and overseeing end-to-end production deployment with monitoring. - The role includes leading code reviews and documentation, mentoring junior engineers, partnering with multiple teams on company-wide programs, and communicating complex concepts clearly to technical and non-technical stakeholders. - The ideal candidate has 10+ years of hands-on software/technology leadership with end-to-end lifecycle responsibility, experience with ML workflows and observability at scale, a proven track record of leading AI/ML products, a CS-focused degree, proficiency in languages such as Java or Python, and cloud experience, with preferred extras in OpenSearch/Elasticsearch, developer productivity, online/offline experimentation, CI/CD, and 2+ years running search systems at scale.

- Atlassian supports flexible work locations (office, home, or hybrid) and hires globally wherever they have a legal entity. - Their Your Future Team Search Platform powers fast, accurate, low-latency search across surfaces with scalable runtime systems and robust serving infrastructure. - The Principal Machine Learning Systems Engineer role sits at the intersection of search, ML, and experimentation, requiring about 70% engineering and 30% ML, to deliver ML-powered solutions that impact millions of customers. - Responsibilities include tackling large, complex projects from design to launch, architecting data infrastructure for large-scale search and experimentation data, deploying ML solutions to production with ongoing evaluation and monitoring, and mentoring engineers while collaborating across teams. - The ideal candidate has 10+ years of hands-on leadership with end-to-end SDLC ownership, experience with ML workflows at scale, a CS degree, proficiency in languages like Java or Python, cloud experience, and desirable expertise in areas such as OpenSearch/Elasticsearch, Developer Experience, experimentation, and CI/CD.

- Atlassian supports a distributed-first work model, allowing employees to work in-office, from home, or hybrid, with virtual interviews and onboarding and hiring in any country where the company has a legal entity. - The company’s mission is to unleash the potential of every team, with Jira, Confluence, and Bitbucket powering collaboration across diverse industries. - The Central AI Org drives AI innovation and builds a robust AI infrastructure, including a centralized search, Q&A, and conversational AI system, while exploring integrations beyond the Atlassian ecosystem. - The AI & ML Platform Team aims to democratize AI and ML for Atlassian’s teams by delivering tools that support development, deployment, measurement, and operation of AI/ML experiences, integrated with the Atlassian Data Platform. - The Principal Machine Learning System Engineer role involves building core ML infrastructure, collaborating with product teams on ML solutions, curating datasets and fine-tuning LLMs, leading projects end-to-end, and requires 5+ years of experience in ML infra, lifecycle, MLOps, distributed systems, Python and ML frameworks, plus cloud, big data, performance tuning, and GenAI/RAG experience.

At Atlassian, you can work from an office, home, or a hybrid setup, and the company hires in any country where it has a legal entity, with virtual interviews and onboarding as part of being a distributed-first organization. Atlassian’s mission is to unleash the potential of every team, behind products like Jira, Confluence, and Bitbucket that support collaboration across diverse teams and enable breakthroughs such as NASA’s Mars Rover and Cochlear’s hearing devices. The Central AI Org drives AI innovation across Atlassian products, building horizontal AI capabilities and infrastructure and establishing a centralized Search, Q&A, and Conversational AI system that can integrate with AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML by delivering reliable tools that integrate with the Atlassian Data Platform, enabling teams to develop, deploy, measure, and operate AI/ML experiences while adhering to security and data-use policies. As a Principal Machine Learning System Engineer, you’ll lead projects from design to launch, collaborating with Jira and Confluence teams to build and fine-tune LLMs or access proprietary models, and you’ll need extensive ML infra experience (about 5+ years), end-to-end ML lifecycle expertise, MLOps, large-scale distributed systems design, Python and ML frameworks, cloud and big data familiarity, and GenAI/RAG experience.

At Atlassian, employees can work in the office, from home, or in a hybrid arrangement, with virtual interviews and onboarding as part of a distributed-first approach. The company hires globally in any country where it has a legal entity and focuses on tackling large, complex problems from technical design to launch. Engineers work closely with Product, Engineering, and Design leads in Jira AI to translate requirements into solid deliverables, delegate work to teams, and deliver solutions used by other teams and products. They follow a Product Engineer mindset—building data-driven, customer-centric features, tackling architecture challenges, defining standards, contributing to code delivery through reviews, direct contributions, and fixing high-risk bugs, and using data analysis, statistics, and logical reasoning for decisions. They partner across engineering teams on company-wide initiatives and mentor junior members.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires globally for a distributed-first company, with virtual interviews and onboarding. - Engineers regularly tackle the largest and most complex problems, from technical design to launches, by collaborating with Jira AI product, engineering, and design leads to translate requirements into solid engineering deliverables and delegating work. - They deliver solutions used by other teams and products, adopting a Product Engineer mindset—building data-driven, customer-centric features for Jira AI while addressing complex architecture and defining architectural standards. - The role involves active code delivery contributions through code reviews, direct coding, and fixing bugs in high-risk areas, supported by expertise in data analysis, statistics, and logical reasoning for data-driven decisions. - They partner across engineering teams on company-wide initiatives and mentor junior members of the team.

Atlassian offers flexible work options—office, remote, or a mix—and hires people worldwide where the company has a legal entity, with interviews and onboarding conducted virtually as part of being distributed-first. The role centers on influencing AI product feature development and roadmaps, driving impactful change through structured analysis and recommendations. You will collaborate with a diverse set of cross-functional partners to become a trusted strategic partner, applying technical expertise with quantitative analysis, experimentation, and data presentation to shape business strategies, especially for the Atlassian Intelligence suite. You will develop hypotheses using analytical approaches, methodologies, frameworks, and technical methods to test them, and define and test opportunities to improve products, guide business direction, and influence roadmaps. You will partner with cross-functional teams to inform, influence, and execute strategy decisions, and identify and measure success via forecasting and monitoring key product metrics to understand trends, using data to shape development, quantify opportunities, identify challenges, and ensure products deliver value to people, businesses, and Atlassian.

Atlassian supports flexible work options (office, home, or hybrid) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. In this role you will influence AI product features and roadmaps through structured analysis and clear recommendations. You will collaborate with diverse cross-functional partners and apply technical expertise, quantitative analysis, experimentation, and data presentation to develop strategies, especially for the Atlassian Intelligence suite. You will focus on developing hypotheses via various analytical approaches and test them to identify opportunities to improve products and guide roadmaps. You will partner with teams to forecast and monitor key metrics, measure success, and use data to shape product development to ensure value for customers and Atlassian.

Atlassian hires people in any country where it has a legal entity and allows remote or office-based work; interviews and onboarding are conducted virtually as part of being a distributed-first company, assuming eligible work rights and sufficient timezone overlap. With sufficient timezone overlap, the company can hire eligible candidates for this role from any location in Australia or New Zealand. The future team is a world-class engineering organization within a unified R&D function, focused on building an empowered team culture and advancing cloud adoption while delivering value across Jira, Confluence, Trello, and Bitbucket. In this role, you’ll tackle large, complex frontend problems, deliver shared frontend platforms and tooling, determine plans of attack on cross-team projects, and drive standards for TypeScript, React, state management, data fetching, and release strategies, including rigorous code reviews and incident handling. You’ll partner with engineering, product, design, and research to drive company-wide initiatives (accessibility, performance, reliability, security, privacy), transfer knowledge across JavaScript/TypeScript and modern web frameworks, mentor engineers, and influence hiring standards and technical leveling.

- Atlassian hires in any country where it has a legal entity and supports remote or office work, with interviews and onboarding conducted virtually as part of its distributed-first approach. - With eligible working rights and sufficient timezone overlap with the team, this role can be filled from any location in Australia or New Zealand. - The future team is a unified R&D engineering organization focused on helping customers move to the cloud and delivering value through Jira, Confluence, Trello, and Bitbucket. - In this role you will regularly tackle large, complex problems from design to launch, deliver shared frontend platforms and tooling, and plan cross-team work using RFCs, ADRs, and rapid prototypes to de-risk ambiguities. - You will define frontend architecture standards (TypeScript, React, state management, data fetching, error handling, release strategies), lead code reviews and high-risk fixes, drive operational excellence, partner across teams on accessibility, performance, security, and privacy, transfer knowledge across JS/TS, mentor engineers, and influence hiring standards and technical leveling.

The Atlassian Marketplace team builds the ecosystem that enables partners and millions of users to extend, customize, and get more value from Atlassian products, making it central to customer success and Atlassian’s long-term strategy. They design experiences that help customers discover, evaluate, and adopt apps, while empowering partners with tools and insights to grow their businesses. Their strategy focuses on leveraging AI to enhance the marketplace experience and to support a new wave of AI-powered apps for customers. You’ll join a multi-disciplinary team of designers, product managers, and engineers who value collaboration, craft, and experimentation, and as a Lead Product Designer you’ll shape how millions extend workflows and how thousands of partners grow their businesses. The Lead Product Designer role includes leading end-to-end design for Marketplace initiatives, mentoring designers, evolving design systems, partnering across Atlassian, advocating for customers and partners with data and experimentation, and championing AI-driven design; Atlassian supports a distributed-first work model with global hiring and virtual interviews/onboarding.

The Atlassian Marketplace team builds the ecosystem that enables partners and millions of users to extend, customize, and get more value from Atlassian products, and serves as the hub of Atlassian’s app ecosystem central to customer success and long-term strategy. The team designs experiences to help customers discover, evaluate, and adopt apps, and focuses on leveraging AI to make this process smarter, while enabling partners to innovate with next-gen AI-powered apps. You’ll join a multidisciplinary group of designers, product managers, and engineers who value collaboration, craft, and experimentation, and as a Lead Product Designer you’ll shape how millions extend workflows and how thousands of partners grow their businesses. The role entails leading end-to-end design for Marketplace initiatives—from strategy and discovery to delivery—framing complex problems, mentoring designers, scaling design systems, and partnering with Atlassian to align with ecosystem priorities, all while championing AI-driven design. Atlassian supports a distributed-first, globally hireable approach with virtual interviews and onboarding; Lead Designers are expected to operate at high complexity, influence across disciplines, deliver exceptional design, coach the team, and drive strategic initiatives aligned with product and business goals.

Atlassian supports flexible work locations and globally hires with virtual interviews and onboarding as part of its distributed-first approach. The Lead Product Designer will shape the vision and system for the JSM Help Center and drive AI-powered experiences across Atlassian’s product ecosystem. The role combines visual design, interaction design, information architecture, and systems thinking, with ownership of the end-to-end design process from problem framing to launch. You’ll have substantial impact at scale, working with millions of users (over 10M) and collaborating with engineers, PMs, content designers, marketing experts, and analysts while championing accessibility, transparency, and ethical AI. You’ll mentor and coach designers, facilitate critiques, grow AI design literacy, and elevate team culture.

Atlassian supports flexible, distributed-first work locations and hires globally with virtual interviews and onboarding. The Lead Product Designer role is to shape the vision and system for the JSM Help Center and drive AI-powered experiences across Atlassian’s product ecosystem. The position requires excellence in visual design, interaction design, information architecture, and systems thinking, defining how millions of users interact with Atlassian products while balancing clarity, craft, and AI-enhanced capabilities. You will lead design projects end-to-end—from problem framing and research to systemization, flows, visuals, prototyping, handoff, and launch quality—owning customer value and outcomes. You’ll collaborate with engineers, product managers, content designers, marketing experts, and analysts, mentor designers, advocate for accessibility and ethical AI, and help grow AI design literacy and team culture at scale.

Atlassian supports flexible work arrangements, including in-office, remote, or hybrid options, and hires people in any country with a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. The Lead Product Designer role is to shape the vision and system for the JSM Help Center and drive AI-powered experiences across Atlassian’s product ecosystem. The role is multi-faceted, requiring excellence in visual design, interaction design, information architecture, and systems thinking, and you will define end-to-end user interactions for millions of users. You’ll own the design process from problem framing through research, systemization, flows, visuals, prototyping, handoff, and launch, with substantial autonomy across the entire design lifecycle. You’ll collaborate with engineers, product managers, content designers, marketing experts, and analysts; mentor designers, facilitate critiques, grow AI design literacy, and champion accessibility and ethical AI to drive impact for more than 10 million users.

Atlassian offers flexible work options—office, remote, or hybrid—and hires globally with virtual interviews and onboarding as part of a distributed-first approach. The Data Science and Analytics team influences product innovation through data insights, machine learning, experimentation, and deep analytics to build smarter, data-driven products. They turn user insights into strategic advantages, support engineering teams for speed and efficiency, and collaborate with cross-functional partners to become trusted strategic partners through clarity in their work. They apply quantitative analysis, experimentation, and data presentation to develop business strategies, test hypotheses, and shape roadmaps with insights and recommendations, partnering with teams to inform and execute strategy. They identify and measure success by forecasting and monitoring key product metrics to understand trends and guide decision-making.

Atlassian allows employees to work in-office, from home, or hybrid, giving them control to support family and personal goals, and hires globally where legal entities exist with virtual interviews and onboarding as part of being a distributed-first company. The Data Science and Analytics team drives product innovation by turning data into insights through machine learning, experimentation, and deep analytics to create smarter, data-driven products. They uncover user insights and optimize features to shape scalable product experiences while supporting engineering teams to increase speed and efficiency in development. The role involves collaborating with cross-functional partners, applying quantitative analysis and data presentation to develop business strategies and solve major challenges, and focusing on developing and testing hypotheses via various analytical methods. They define and test opportunities to improve products, influence roadmaps with insights and recommendations, partner with teams to guide strategy decisions, and measure product success through forecasting and monitoring key metrics.

Atlassian is seeking a Cloud Network Engineer for its Edge Networking team to scale cloud networking services and manage global proxy fleets that support Jira, Confluence, Trello, and Bitbucket. The ideal candidate is a technical leader who stays current with industry trends in networking, proxies, and reliability, enjoys sharing knowledge, and can balance operational and project work. The role requires a deep understanding of modern cloud networking, programming, and operational experience, with a drive to improve reliability, performance, scalability, and cost efficiency. The position reports to the Senior Engineering Manager of Edge Networking, and Atlassian offers flexible work locations and hires in any country where it has a legal entity. Responsibilities include writing code to automate and operate large proxy fleets across globally distributed regions, responding to operational events with mitigations, contributing to large projects delivering new networking features, designing network features, investigating opportunities to improve security, reliability, and cost efficiency, and mentoring/hiring.

The company Atlassian seeks a Cloud Network Engineer for its Edge Networking team to scale cloud networking services and ensure reliable global connectivity for products like Jira, Confluence, Trello, and Bitbucket. The role involves owning cloud infrastructure, tooling, and automation, and requires a technical leader who stays current with networking trends, proxies, and reliability, capable of balancing operational and project work and mentoring others. The candidate should have deep knowledge of modern cloud networking, programming, operational experience, and a drive to improve reliability, performance, scalability, and cost efficiency, reporting to the Senior Engineering Manager of Edge Networking. Atlassian emphasizes flexibility in work location, allowing office, remote, or hybrid work, and hires in any country where it has a legal entity. Key responsibilities include automating and operating large proxy fleets across regions, responding to operational events, delivering networking features on major projects, designing new features, investigating security and cost improvements, and contributing to mentoring and hiring.

- Atlassian is hiring a Cloud Network Engineer for the Edge Networking team to scale cloud networking services and ensure a reliable network experience for Jira, Confluence, Trello, and Bitbucket. - The ideal candidate is a technical leader who stays current with industry trends in networking, proxies, and reliability, and who can balance operational and project work while sharing knowledge. - Responsibilities include writing code to automate and operate large proxy fleets across globally distributed regions, responding to operational events, and contributing to major projects delivering new networking features. - They will design new network features, investigate security, reliability, and cost-efficiency improvements, and contribute to mentoring and hiring. - Atlassian offers flexible work locations and can hire in any country with a legal entity; the role reports to the Senior Engineering Manager of Edge Networking and focuses on improving reliability, performance, scalability, and cost efficiency.

Atlassian’s Edge Networking team owns the cloud infrastructure, tooling, and automation that enable global customers of Jira, Confluence, Trello, and Bitbucket to have a reliable network experience, and we’re looking for a Cloud Network Engineer to join the team. The ideal candidate is a technical leader with current knowledge of cloud networking, proxies, and reliability, who can balance operational and project work and enjoys sharing knowledge with others. Key responsibilities include writing code to automate and operate large proxy fleets across multiple globally distributed regions, responding to operational events with mitigations, contributing to major networking projects, designing new features, and investigating security, reliability, and cost efficiency improvements. Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where we have a legal entity; this role is for the Cloud Network Engineer on the Edge Networking team. The position reports to the Senior Engineering Manager of Edge Networking and includes mentoring and hiring duties, with a focus on raising reliability, performance, scalability, and cost efficiency of services and processes.

Atlassian is seeking a Cloud Network Engineer for the Edge Networking team, which owns the cloud infrastructure, tooling, and automation that provide a reliable network experience for Atlassian’s global products. The ideal candidate is a technical leader with deep modern cloud networking expertise, programming ability, operational experience, and a drive to scale services while improving reliability, performance, scalability, and cost efficiency. Responsibilities include writing code to automate and operate large proxy fleets across globally distributed regions, responding to operational events and mitigations, contributing to large projects delivering new networking features, designing new network features, investigating security and reliability improvements, and mentoring/hiring. The role reports to the Senior Engineering Manager of Edge Networking and aims to analyze and improve services and processes to reach a higher level of reliability, performance, scalability, and cost efficiency. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity; this position is for the Edge Networking team.

Zendesk is hiring a Senior Corporate Account Executive to grow its B2B SaaS business by acquiring new customers, closing deals of varying sizes, and deepening relationships across accounts. The role focuses on top-line revenue growth through new logo acquisition and account expansion, using data insights to align Zendesk products with customers’ goals and drive cross-selling opportunities. Responsibilities include maintaining a robust Salesforce pipeline, providing accurate forecasts, meeting revenue targets, leading competitive sales cycles, and collaborating with internal teams to optimize sales execution. Requirements are a BA/BS or equivalent, at least 3 years in B2B sales or solution engineering (preferably in SaaS) with a track record of exceeding targets, plus strong prospecting, negotiation, presentation, and territory-planning skills and familiarity with tools like Salesforce and Clari. The position offers a hybrid in-office/remote arrangement, a commitment to diversity and inclusion, and mentions that AI may be used to screen applications; accommodations are available upon request.

The Senior Solutions Consultant at Zendesk handles all technical, solution, and competitive aspects of the sales cycle, acts as the technical bridge between Account Executives and prospects, and owns the prime technical relationship to ensure customer happiness through onsite, online, and virtual engagements. Requirements include 5+ years of mid-market/enterprise software sales, the ability to map RFI/RFP requirements to software solutions, excellent interpersonal and communication skills, strong discovery and objection-handling abilities, and experience scoping, managing, and executing customer pilots and proofs of concept with defined success criteria and timelines. The role also requires knowledge of web/scripting technologies (HTML, CSS, JavaScript), prompt engineering, and SaaS applications, plus outstanding problem-solving and solution scoping abilities, including the capacity to learn emerging AI technologies quickly and to use LLMs like ChatGPT and Gemini where appropriate. Desirable skills include experience in contact centers, vertical industry expertise, prior consulting in enterprise software implementations, familiarity with Customer Service Software, ITSM, data warehousing, BI, and workforce engagement, and experience developing or selling AI solutions, as well as formal B2B/Sandler or Challenger-style sales training. The US annualized OTE ranges from $151,000 to $227,000 with an 80/20 base/commission mix and potential bonuses, with travel up to 40%; Zendesk also highlights a hybrid work model, commitment to diversity and inclusion, and equal opportunity employment, including accommodation for disabilities.

Zendesk is hiring a hybrid Frontend QA Engineer (remote and on-site) who must relocate to Pune and be based in Karnataka or Maharashtra, with three days in the office. The role requires 7+ years of software testing experience, including at least 3+ years focused on frontend/UI testing, strong Cypress UI testing skills, and proficiency in JavaScript and TypeScript, plus experience managing GitHub CI/CD pipelines. Key responsibilities include designing and executing UI test plans using Cypress and Capybara, collaborating with frontend developers, maintaining scalable automated testing frameworks, analyzing results and defects, managing testing infrastructure, implementing CI/CD pipelines, mentoring engineers, and participating in product design reviews. Preferred qualifications include experience with other UI testing frameworks like Selenium or Playwright, knowledge of Jest/Jasmine/Mocha, familiarity with Git, and understanding of modern frontend frameworks (React, Angular, Vue) or cloud-based testing environments. Zendesk emphasizes a hybrid, inclusive culture, notes that AI may screen applications, and offers accommodations; the exact in-office schedule and location are determined by requisition, with eligible candidates located in Karnataka or Maharashtra being considered.

Zendesk is seeking a Senior Analyst, Enterprise Analytics within the Enterprise Data and Analytics team to surface insights quickly and communicate them persuasively to leaders across Product, GTM, Finance, and other functions, democratizing data to support data-driven decisions. Key responsibilities include conducting advanced data analysis and modeling, partnering with cross-functional teams to prioritize research, defining problem statements, building dashboards and reports, standardizing product insights, creating clear visualizations, driving autonomous roadmaps, managing senior stakeholder relationships, ensuring data quality and architecture, and mentoring other team members. The role emphasizes autonomy and the ability to guide the business on the right problems to solve, focusing on understanding customers, how they derive value from Zendesk products, and how to improve retention and overall product value. Required qualifications include 8+ years of SQL or other querying language experience, Snowflake experience a plus, proficiency with analytics/visualization tools like Tableau or Looker, strong problem-solving and anomaly-detection skills, the ability to autonomously deliver work while developing domain expertise, and exceptional communication and storytelling abilities. The position is located in Mexico City or Estado de Mexico with a hybrid work arrangement, and Zendesk emphasizes an inclusive culture with commitments to diversity, equity, and inclusion, AI-based screening may be used, and accommodations are available for applicants with disabilities.

Zendesk's Enterprise BI & Reporting team is seeking a proactive BI Lead (Senior Analyst) to support enterprise dashboards using Tableau, Looker, and Snowflake, enabling scalable self-service capabilities and standards across the organization. The role is a technical expert responsible for eliciting requirements, analyzing data, recommending BI solutions, and building insightful visualizations, while guiding stakeholders and mentoring other BI analysts. Key responsibilities include refining requirements with internal customers, translating business needs into BI solutions, developing user materials, performing data profiling and statistical analyses, and delivering dashboards, reports, or datasets that impact the business. Required qualifications include a Bachelor's in Information Systems or equivalent, 5+ years in a BI/Analytics role with large-scale BI experience, strong SQL/Python and BI tools (Looker, Looker Studio, Tableau), data modeling and data warehouse experience, ability to lead large BI projects, travel up to 5%, and eligibility to work from Mexico City or Estado de Mexico with a hybrid onsite schedule. Zendesk emphasizes a diverse, inclusive workplace, hybrid working arrangements, AI screening per company guidelines, and accommodations for applicants with disabilities, with opportunities to work in offices around the world.

Zendesk is seeking a Director, Global Specialist Organization to lead and scale three specialist teams—Employee Service (ES), CCaaS, and Workforce Engagement Management (WEM)—as trusted advisors that accelerate adoption, drive value, and strengthen retention, with AMER or EMEA remote location and reporting to Oliver Nono. The ideal candidate will be strategically and operationally strong, with deep expertise in at least one domain and a proven track record of leading high-performing teams across segments, regions, and product surfaces, partnering closely with CS, Professional Services, Sales, Renewals, Product, and CX Enablement. Responsibilities include building and scaling the global specialist functions, establishing a unified strategy and operating model, developing managers, and driving adoption, value realization, and risk-mitigation frameworks, along with data-driven governance and collaboration with CX programs. Requirements include 12+ years in Customer Success, Professional Services, or GTM roles within enterprise SaaS, 5+ years leading teams, deep domain expertise in ITSM/Employee Experience, CCaaS, or WEM, global multi-regional experience, strong cross-functional influence, excellent communication and analytics, and willingness to travel quarterly. Zendesk emphasizes a hybrid, inclusive workplace, AI screening as part of the process, equal opportunity employment, and accommodations for applicants with disabilities.

Atlassian emphasizes openness about security programs and metrics to build trust and invites other cloud providers to do the same. The Head of Detection & Response is a senior security engineering leader responsible for Atlassian’s global incident detection, response, threat intelligence, and security operations across cloud-first environments, setting strategy and delivering measurable outcomes. Compensation is equitable, explainable, and competitive, with US base pay ranges by geographic zone: Zone A $252,100–$336,200, Zone B $226,900–$302,600, Zone C $209,300–$279,000, and eligibility for benefits, bonuses, commissions, and equity, with zone confirmation through the recruiter. The role requires defining and executing a multi-year DnR strategy aligned to Trust, cloud platform, and AI-driven priorities, achieving improvements in MTTD, MTTC, and MTTR with SLOs. It also entails operationalizing modern detections, automated response, and threat intel fusion, embedding security across the product lifecycle, overseeing SOC evolution, and establishing a proactive threat intelligence program.

Atlassian's mission is to fuel the potential of every team, and its Security Team aims to build trust by leading cloud and product security and by openly sharing its journey to encourage transparency across the industry. The Head of Detection & Response is a senior security engineering leader responsible for Atlassian’s global incident detection, response, threat intelligence, and security operations across cloud-first environments, driving strategy and measurable outcomes. Atlassian emphasizes equitable, explainable, and competitive compensation with a higher baseline than the typical market range and three US geographic pay zones, with base pay determined by skills and experience and potential eligibility for benefits, bonuses, commissions, and equity. In this role, you’ll define and execute a multi-year DnR strategy aligned to Atlassian’s Trust, cloud platform, and AI-driven priorities, achieving improvements in MTTD, MTTC, and MTTR with reliability targets and SLOs, and you’ll operationalize detections, automated response, and threat intel fusion. You’ll also work closely with product development teams to embed security across the development lifecycle, oversee the evolution of the SOC to ensure top-tier monitoring, and establish a threat intelligence program to provide insights for proactive security measures.

Atlassian is seeking an experienced commercial counsel to join the Commercial Legal team to support enterprise transformations and critical enterprise deals in the US and Canada. The position is remote and distributed-first, with flexibility to work from office or home, and Atlassian can hire in any country where it has a legal entity; interviews and onboarding are conducted virtually. Core duties include negotiating enterprise cloud agreements, partnering with Sales to drive deals to execution, and providing pragmatic, business-minded guidance on customer requests and contract issues. The role also involves developing training materials for Sales on contract terms and legal issues and assisting with special projects to scale legal processes. It also entails leading cross-functional, quote-to-cash projects and driving strategic customer deals with Sales and teams such as Privacy, Trust, Finance, and Product, applying a practical legal lens rather than academic analysis.

Atlassian is looking for an experienced commercial counsel to join its Commercial Legal team to support enterprise transformations and close critical deals with enterprise customers in the US and Canada. The role is remote and involves close partnership with Sales, liaising with customers, and enabling execution of key deals, with hiring possible in any country where Atlassian has a legal entity. You will negotiate enterprise cloud agreements, provide pragmatic, business-focused guidance on contract issues, and develop training materials to educate Sales on contract terms. You’ll also lead special projects to scale the Legal and Sales functions and contribute to cross-functional quote-to-cash initiatives with teams like Privacy, Trust, Finance, and Product. Interviews and onboarding are conducted virtually as part of Atlassian’s distributed-first, flexible work model.

Atlassian is seeking an experienced commercial counsel to join its Commercial Legal team to support enterprise transformations and critical deals with enterprise customers in the U.S. and Canada, closely partnering with Sales on enterprise cloud agreements. The role is remote within a distributed-first company, and Atlassian can hire in any country where it has a legal entity, with interviews and onboarding conducted virtually. Responsibilities include negotiating enterprise cloud agreements, providing pragmatic, business-minded guidance on contract-related issues, and developing materials to educate Sales on contract terms. You will lead special projects to scale the Legal and Sales functions and bring a legal lens to cross-functional quote-to-cash initiatives, driving strategic customer deals with teams in Privacy, Trust, Finance, and Product. The position emphasizes practical, non-academic analysis and includes assisting with projects aimed at scaling legal processes.

Atlassian supports flexible work arrangements (office, remote, or hybrid) and hires globally where they have a legal entity, with interviews and onboarding conducted virtually as part of being distributed-first. With sufficient timezone overlap, they can hire for this role from anywhere in Australia and New Zealand. They are seeking Engineers for Sydney teams (Jira Server, Jira Cloud, Growth, etc.) and want a Senior Software Engineer who will take high responsibility and mentor others. The company values learning and a diverse tech stack, noting that while Java is a primary language, they also use Kotlin, Golang, Python, and Ruby, and they hire people who can learn new technologies. In the interview process, candidates can code in their strongest language to demonstrate capabilities, enabling an accurate assessment regardless of language.

Atlassian offers flexible work locations—office, remote, or a combination—to help employees support their family, personal goals, and other priorities. They hire globally where they have a legal entity, with virtual interviews and onboarding as part of their distributed-first approach. If there is sufficient timezone overlap, they can hire for this role from anywhere in Australia and New Zealand. They are seeking engineers to join Sydney teams (Jira Server, Jira Cloud, Growth, etc.) and emphasize that Senior Software Engineers should take high responsibility, mentor others, and be role models. They value learning and adaptability, and will interview candidates who may not have Java experience if they can show they can learn; while the stack is Java-heavy, they also use Kotlin, Go, Python, and Ruby, and candidates are encouraged to code in their strongest language during interviews.

Atlassian supports flexible work locations—office, remote, or hybrid—and hires globally where they have a legal entity, with interviews and onboarding conducted virtually as part of their distributed-first approach. With sufficient timezone overlap, they can hire eligible candidates for this role from anywhere in Australia and New Zealand. They are looking for Engineers to join Sydney engineering teams such as Jira Server, Jira Cloud, and Growth. Senior Software Engineers are expected to be highly competent, take responsibility, mentor others, and continue to grow their skills. Atlassian values learning and uses the right tools for the job; while their stack is Java, they also work with Kotlin, Golang, Python, and Ruby, and during interviews candidates can code in the language they are strongest in to showcase their abilities.