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Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. As the Manager of the Commercial Solutions Engineering team for DX, you will lead a high-performing team of Solutions Engineers to drive the DX product's growth in the mid-market and commercial sectors, scaling pre-sales strategy and acting as a bridge between Sales, Customer Success, Product, and Engineering leadership. Responsibilities include recruiting and mentoring the SE team, fostering technical excellence and consultative selling, acting as a player-coach on high-stakes opportunities with oversight of POCs and mapping DX capabilities to business outcomes, and defining or tracking KPIs to ensure performance alignment with revenue targets. You will standardize and scale POC playbooks, demo environments, and pre-sales workflows, optimize resource allocation across a fast-moving pipeline, and serve as the voice of the customer in leadership discussions to influence roadmap priorities. Qualifications require 5+ years in Pre-Sales/Solutions Engineering with at least 2+ years in a formal leadership role, a proven track record in mid-market/commercial sales, experience building scalable technical sales processes, deep understanding of SDLC, DORA metrics, and the SPACE framework, familiarity with APIs, SQL, and Git, and strong stakeholder management and conflict-resolution skills.

Atlassians can work in an office, from home, or in a hybrid setup, and the company can hire people in any country where it has a legal entity. Atlassian's DX Solutions Engineering Team is seeking a highly skilled Solutions Architect to drive the adoption and long-term growth of the DX product (getdx.com) as the technical authority for Enterprise customers after the sale. The role involves leading technical implementation—working with Customer Success Managers to oversee onboarding, complex integrations, and system architecture to ensure a seamless transition from evaluation to production. It also covers architecture and strategy work, including deep-dive sessions to map the DX platform to a customer's long-term goals and workflows, plus designing custom solutions that connect DX APIs to complex client environments and providing consultative implementation to adapt configurations to deployment pipelines. Additional duties include serving as a trusted advisor on best practices for DX analytics, deployment methodologies, and cultural transformation, and establishing a feedback loop to relay technical insights to Product and Engineering to influence the roadmap.

At Atlassian, employees can choose to work in an office, from home, or in a hybrid arrangement, and the company hires in any country where it has a legal entity. The DX Solutions Engineering Team is seeking a Solutions Architect to lead the adoption and long-term growth of the DX product for enterprise customers. The role serves as the technical authority after the sale, overseeing onboarding, complex integrations, and system architecture to ensure customers realize maximum value. Responsibilities include leading technical deep-dives to align the DX platform with customers’ workflows, designing tailored integrations, and guiding deployment strategies as a trusted advisor. The position also involves capturing technical feedback from active customers to inform the product roadmap and collaborating with Product and Engineering to address friction points.

Atlassian supports flexible work arrangements—office, remote, or a mix—and hires in any country where it has a legal entity. Atlassian’s DX Solutions Engineering Team is seeking a highly skilled Solutions Architect to drive adoption and long-term growth of the DX product (getdx.com) and to serve as the technical authority for enterprise customers after the sale. The role involves leading technical implementation by partnering with Customer Success Managers to onboard customers, manage complex integrations, and design system architectures for a smooth transition from evaluation to production. It also encompasses architecture and strategy work—conducting deep-dive sessions to map the DX platform to customers’ goals and workflows—and custom solution engineering to create tailored integrations within complex client environments. Additional responsibilities include consultative implementation, acting as a trusted advisor on DX analytics and deployment practices, and feeding feedback to product and engineering to inform the roadmap and feature enhancements.

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. DX is the developer intelligence platform that combines self-reported developer insights with data from the systems where work happens to help engineering leaders improve productivity and make better AI-driven decisions. The Senior Product Manager will lead DX’s data platform and connector portfolio, owning Data Cloud, the connector ecosystem, data integrity, and the data infrastructure behind DX’s demo environment. This is a deeply technical product role that requires credibility with connectors, APIs, data models, data lakes, reliability, enterprise data requirements, and data privacy/security, with the goal of delivering a trusted platform for customers and internal teams. Responsibilities include setting vision and roadmap for Data Cloud and connectors, prioritizing investments, improving the end-to-end connector experience, defining data quality requirements, partnering with Engineering on the unified data layer, ensuring the demo environment is representative and reliable, understanding enterprise data environments, prototyping opportunities, tracking platform performance, and collaborating with go-to-market teams on discovery, pilots, launches, documentation, and positioning.

Atlassian supports flexible work locations—office, home, or a mix—and hires globally with virtual interviews and onboarding as part of a distributed-first approach. They’re seeking a Principal Machine Learning Scientist for the Central AI team in Bellevue, WA, which builds the infrastructure, data pipelines, frameworks, models, and other capabilities to speed AI feature development across the company. Central AI is part of the Atlassian Intelligence program, aimed at accelerating AI innovation, delivering cohesive AI experiences, and establishing an Atlassian AI infrastructure for the future. Although most AI initiatives will be developed by federated product teams, Central AI plays a pivotal role by providing the underlying infrastructure and shared experiences like search, knowledge discovery, and conversation. The role involves designing system and model architectures, training advanced models, collaborating with product, engineering, and analytics teams, and guiding emerging ML engineers to ensure AI’s transformative potential across Atlassian’s offerings.

Atlassian offers flexible work locations (office, home, or a mix) and hires in any country where the company has a legal entity. The role involves designing, developing, and training cutting-edge ML models, including NER, personalization, prediction, and LLM fine-tuning, to power Atlassian products. You will ship production-ready ML systems by collaborating with engineering, product, and analytics teams to integrate AI features into Atlassian services and by performing model optimization and writing production-quality code. Responsibilities include conducting experimentation and model evaluation to ensure performance, scalability, and reliability, and defining and monitoring product metrics to guide improvements and measure impact. You will contribute to Atlassian's next-gen AI initiatives, communicate findings and recommendations to senior leaders through clear presentations, work 40 hours per week, Monday through Friday, 8:30 a.m. to 5:30 p.m., and earn a salary of $276,200 per year.

Atlassian offers flexible work arrangements—office, remote, or hybrid—so employees can balance family, personal goals, and other priorities. They can hire in any country where they have a legal entity, and the role is fully remote but must be located in US Pacific or Mountain time zones. They are seeking a Senior Fullstack Software Engineer focused on delivering creative improvements for their engineering teams. Responsibilities include guiding technical direction for large-scale features, evaluating trade-offs for correctness, robustness, performance and customer impact, collaborating with product, design, and engineering to influence strategy, and shipping secure, reliable, and maintainable code while addressing production issues. They also expect participation in code reviews, documentation, and complex bug fixes with emphasis on security, performance, and reliability, plus mentoring teammates to elevate their skills.

Atlassian offers flexible work locations, allowing office, remote, or hybrid work to support personal goals and priorities, and hires in any country with a legal entity. The role involves contributing to code reviews, documentation, and complex debugging with a strong emphasis on security, performance, and reliability. You will guide the technical direction and implementation of large-scale product features, evaluating trade-offs between correctness, robustness, performance, and customer impact. You’ll collaborate with product, design, and engineering to influence product strategy while shipping well-tested, secure, reliable, and maintainable code, responding to real-world usage and resolving production issues. The job includes building dynamic user experiences and supporting the full engineering stack in a complex system, with a 40-hour workweek (Mon-Fri, 8:30 a.m.–5:30 p.m.) and a salary range of $221,187 to $235,000 per year.

Atlassian is seeking a Senior Engineering Manager, GTM Systems to lead a globally distributed SalesTech engineering team responsible for architecting, building, and scaling Atlassian’s Go-To-Market engine, overseeing the Salesforce ecosystem and other tools such as Gong, Outreach, and LinkedIn Navigator, along with full-stack microservices and data integrations across Commerce, Marketing, and Billing. The role requires a unique blend of deep Salesforce architectural expertise, modern full-stack software engineering practices, and proven people leadership to deliver resilient, revenue-critical systems at enterprise scale. Responsibilities include leading and mentoring a distributed team of engineers and integration specialists, fostering technical excellence and operational hygiene, and managing sprint planning, capacity forecasting, and resource allocations across foundation programs, NPIs, and BAU. Technical ownership entails setting architectural vision and engineering standards for Salesforce, custom applications, and back-end microservices, stabilizing critical data flows (Commerce Control Plane to Salesforce) with zero data loss/duplication, and driving automated testing, CI/CD pipelines, API contracts, and governance across 20+ enterprise systems. Qualifications include 12+ years in enterprise B2B SaaS with at least 4 years of people management for teams of 15+, deep Salesforce expertise (Sales Cloud, Experience Cloud, Apex, LWC, Platform Events, SOQL/SOSL), security models, and preferred certifications; strong full-stack/backend skills (Java/Spring Boot, Node.js, React/TypeScript, Python), API design (REST/GraphQL), event-driven architectures, AWS, and enterprise integration platforms, with nice-to-have experience in Zuora, Marketo, and AI-assisted development tools.

Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires in any country where it has a legal entity, with this role positioned to lead Jira’s reinvention into an AI era. The design leader will set a cohesive end-to-end vision for Jira’s AI transformation, translate blue-sky thinking into phased product innovation, and lead a focused team of up to ten designers while collaborating with senior ICs, Confluence, and other teams. You’ll guide interaction architecture and design patterns to simplify powerful, customizable Jira workflows, shape Jira’s agent experiences and human-in-the-loop decisions, and align with the broader Teamwork Collection portfolio. The role requires partnering with product, engineering, and design leaders to communicate the vision, prioritize opportunities, raise design quality through critique and prototyping, and connect Jira’s future direction to shared UX frameworks across Atlassian. Must-haves include 10+ years in design leadership, a track record of leading design teams and shipping complex B2B products, and a portfolio demonstrating exceptional visual and interaction design for complex workflows, along with fluency in AI-native opportunities and human-in-the-loop design; what would set you apart includes experience with collaborative tools or agentic AI products and strong prototyping.

- Atlassian allows Atlassians to work anywhere (office, home, or hybrid) and hires in any country where there is a legal entity. - The Jira AI transformation design leadership role is to shape an end-to-end vision, lead a focused design team, and ensure interaction architecture and agentic experiences align with enterprise needs while collaborating with Confluence and other Teamwork Collection teams. - You will set a cohesive design direction for Jira’s reinvention, translate blue-sky thinking into phased product innovation, and partner across product, engineering, and design to ship compelling experiences. - The ideal candidate has 10+ years of design leadership, a strong portfolio of visual and interaction design for complex B2B workflows, and fluency in AI-native opportunities and human-in-the-loop decisions. - Distinguishing qualifications include experience building collaborative tools or AI-enabled products, strong prototyping and cross-portfolio design alignment, and the ability to navigate the complexity of a mature enterprise product while maintaining a high craft standard.

Atlassian offers flexible work locations, letting employees work in an office, from home, or a hybrid, and hires people in any country where the company has a legal entity. The role involves designing, building, and shipping backend features in a highly scalable, cross-geographic distributed environment, collaborating with engineers, architects, product managers, and designers in an open, agile workspace. Responsibilities include ensuring full visibility, error reporting, and monitoring of high-performing backend services, and actively participating in Agile ceremonies such as daily stand-ups, sprint planning, retrospectives, and demos. The job entails reviewing code with best practices for readability, testing, documentation, reliability, security, and performance, and developing backend applications using modern object-oriented languages to create scalable RESTful microservices, with expertise in databases ranging from RDBMS to NoSQL. Work hours are 40 hours per week, Monday through Friday, 8:30 a.m. to 5:30 p.m., with a salary of $224,800 to $235,000 per year.

At Atlassian, you can work in an office, from home, or a combination of the two, and the company hires people in any country where it has a legal entity, serving over 300,000 customers including NASA, IBM, Hubspot, Samsung, Booking.com, Heineken, IKEA, and Coca-Cola to unleash every team’s potential with software and drive customer impact and revenue growth. The culture centers on the value of “play as a team,” with mutual support, shared wins, knowledge sharing, and employees working with Atlassian, not for Atlassian, alongside strong sales earning potential in a large enterprise market. The sales role involves building and nurturing relationships with key stakeholders, negotiating complex contracts, and collaborating with internal teams—Channel Partners, Product Specialists, Account Managers, and Solution Engineers—to ensure customer satisfaction. You should be customer-focused, creative, and possess a hunter mindset, excited by identifying business needs and crafting solutions for Fortune 500 companies. Responsibilities include developing named account or territory plans, executing strategic sales plans, identifying and qualifying leads, building executive relationships, negotiating and closing contracts, coordinating with internal teams, providing forecasting, staying informed on industry trends, traveling as needed, and running strategy plays to drive long-term relationships across designated territories or named accounts.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity to help employees support their family and personal goals. The company works with more than 300,000 customers worldwide, including NASA, IBM, Hubspot, Samsung, Booking.com, Heineken, IKEA, and Coca-Cola, with a mission to unleash every team's potential through powerful software, delivering exceptional customer impact and ongoing revenue growth. Atlassian's culture centers on the value of “play as a team,” with employees supporting each other, sharing knowledge, and working with Atlassian rather than for Atlassian, plus strong earning potential for sales in the enterprise market. The role involves building and nurturing relationships with key stakeholders, negotiating contracts, and collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to ensure customer satisfaction for Fortune 500 clients. You’ll develop and execute named account or territory plans, identify and qualify leads, manage complex sales cycles, forecast and plan, stay current on industry trends, travel to meet clients and events, and coordinate with internal teams to drive opportunities.

We are seeking a Principal Technical Program Manager to drive technical strategy and cross-functional execution across our agent integration, quality, and API governance platform layers. In this role, you will lead the platform and programs that help agents connect reliably to first- and third-party tools, establish practical ways to measure and improve agent quality, and govern agent and automation traffic through rate limits, quotas, API standards, and runtime safeguards. The scope will evolve as the platform and industry mature, so success requires strong technical judgment, structured execution, and comfort operating in ambiguity. At Atlassian, employees can work from an office, home, or a combination, and the company hires in any country where it has a legal entity. Key scope and core responsibilities include standardizing tool-calling interfaces and onboarding; improving agent quality and observability with metrics and telemetry; API monetization, governance, versioning, safeguards; and facilitating cross-functional execution with clear roadmaps, ownership, decision documents, and trade-offs such as synchronous versus asynchronous tool execution and global versus tenant-scoped controls.

Atlassian offers flexible work options (office, remote, or hybrid) and can hire in any country where they have a legal entity, supporting employees’ family and personal goals. The DX Solutions Engineering Team is seeking a highly skilled Solutions Architect to drive adoption and long-term growth of the DX product (getdx.com) and serve as the technical authority for Enterprise customers after the sale. The role includes leading technical implementation with Customer Success Managers, covering onboarding, complex integrations, and system architecture to ensure a seamless transition from evaluation to production. It also involves architecture and strategy work—conducting deep-dive sessions to map the DX platform to customers’ long-term goals, workflows, and org structures, and designing bespoke integrations that connect DX APIs to client environments. Additionally, it entails consultative implementation as a trusted advisor on best practices for DX analytics, deployment methods, and cultural transformation, plus a feedback loop to inform the product roadmap and feature enhancements.

Atlassian offers flexible work options (office, from home, or a hybrid) and hires globally in any country where they have a legal entity. They are looking for product-minded Principal Engineers who are hands-on individual contributors at the intersection of deep technical craft and sharp product judgment. The role involves owning customer-facing product experiences end-to-end across the full stack, shaping what gets built, and delivering the next generation of AI-native and agentic experiences used by teams worldwide. Responsibilities include leading technical strategy for large-scale features, implementing them across systems, partnering with product/design/data/engineering, evaluating trade-offs for correctness, performance, and customer impact, contributing to system design, reviews, documentation, and best practices with security, performance, and reliability in mind, and mentoring the engineering organization. Requirements include 10+ years of full-stack experience in product and platform engineering, a proven ability to architect and operate large-scale distributed systems and user-facing apps, expertise in operational excellence and production telemetry, a strong product/UX mindset, excellent communication and collaboration skills, and a passion for innovation and fostering an inclusive, high-performing team.

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where they have a legal entity. They aim to be a 100-year company by building a world-class, empowered engineering organization with the right tools and infrastructure. The engineering focus emphasizes advancing AI, helping customers transition to the cloud, and delivering value through Jira, Confluence, Trello, and Bitbucket. In this role, you’ll tackle the largest and most complex problems, provide technical leadership, address architecture challenges, raise the technical bar, partner on company-wide initiatives, share best practices, and mentor the next generation of technical leaders. Requirements include 10+ years of full-stack experience with languages like Java, Scala, Node, JavaScript, or React, a CS degree or equivalent, deep experience in scalable systems (testing, reliability, security, observability), excellent communication, mentoring ability, customer-focused decision-making, and familiarity with A/B testing.

Atlassian lets you choose where you work—office, home, or a mix—and they hire globally in any country with a legal entity, with a long-term goal of being a 100-year company supported by a world-class engineering organization. Engineering at Atlassian prioritizes AI initiatives and helping customers transition to the cloud, while delivering maximum value through Jira, Confluence, Trello, and Bitbucket. They seek people eager to shape the future through collaboration and to raise the technical bar across the organization. In this role you will tackle the largest and most complex problems, provide technical leadership on high-impact projects, address architecture challenges, evangelize high standards, and drive company-wide initiatives in partnership with multiple engineering teams, while mentoring others. Requirements include 10+ years of full-stack experience with languages such as Java, Scala, Node, JavaScript, or React; a CS degree or equivalent; deep experience in systems engineering at scale (testing, reliability, security, observability); strong communication; mentoring ability; customer impact focus; and familiarity with A/B testing.

Atlassian offers flexible work options, including in-office, remote, or a mix, giving employees more control over family, personal goals, and priorities. The company can hire people in any country where it has a legal entity. As a Principal ML System Engineer in the Rovo & AI Engineering organization, you will contribute to Rovo Chat, Atlassian’s fastest-growing area and biggest bet, by bringing cutting-edge innovations and building agent harnesses that improve quality, reliability, and latency. You will have opportunities to lead other engineers from technical design to launch and collaborate with other teams and internal customers to set expectations, gather input, and communicate results, with a role that extends beyond tasks to realize AI’s transformative potential across offerings. The Rovo & AI Engineering org aims to make Rovo the fastest, most trusted way for teams to find, understand, and act on their knowledge; over the past year the team has achieved rapid progress and a 10x growth in the product surface as a result.

Atlassian is a global leader in team collaboration and productivity software with products like Jira, Confluence, Trello, Bitbucket, and Rovo used by millions worldwide. They are seeking a Principal Machine Learning Engineer for the Search & Intelligence organization to build flagship AI products such as agentic search and chat, long-horizon agents, and enhancements to Atlassian’s Teamwork Graph. The role involves designing system and model architectures, leading rigorous experiments and evaluations, and providing technical mentorship to ML engineers. The team also develops the frameworks, models, and infrastructure that accelerate AI feature development across Atlassian and helps shape the company’s AI strategy. Atlassian offers flexible work arrangements (office, home, or hybrid) and hires people in any country where it has a legal entity.

Atlassian offers flexible work options—office, home, or a mix—giving employees more control over family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. In this role, you will tackle the largest and most complex problems from technical design to launch and provide technical leadership on high-impact projects. You will routinely address complex architecture challenges, apply architectural standards, and evangelize a high technical standard across the organization. You will partner with engineering teams on company-wide initiatives spanning multiple projects, transfer your depth of knowledge and best practices to improve engineering excellence, and mentor the next generation of technical leaders at Atlassian.

Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where the company has a legal entity, giving employees greater control over family and personal goals. In this role, you will tackle the largest and most complex problems on the team, from technical design to launch, and provide technical leadership on high-impact projects. You will routinely address complex architecture challenges, apply architectural standards, and start using them on new projects, acting as a champion to raise the technical bar across Atlassian. You will partner across Engineering teams on company-wide initiatives spanning multiple projects and share best engineering practices to improve engineering excellence. You will mentor and grow the next generation of Atlassian technical leaders.

Atlassian offers flexible work options (office, home, or a mix) and hires in any country where the company has a legal entity. They are seeking a Principal Backend Software Engineer to deliver creative improvements for engineering teams. The role involves regularly unblocking challenges across the software development cycle, from technical design to launch, and creating solutions used by other teams and products while planning large projects. It requires solving complex architectural challenges, applying standards to new projects, leading code reviews and documentation, and handling high-risk bug fixes, while setting a standard for meaningful reviews and collaborating on company-wide initiatives. Candidates should transfer their depth of knowledge across languages and mentor junior teammates.

Atlassian offers flexible work options—office, remote, or hybrid—and hires people in any country where there is a legal entity. The role is a highly visible strategic partner to Senior Sales Leadership, supporting Public Sector Account Executives and driving operational excellence and scalable growth. The ideal candidate will bridge from a business intelligence analyst to the C-suite, collaborating with sales leadership and Revenue Operations to enable data-driven decision-making, forecasting discipline, and in-period performance. Key responsibilities include field partnership and insights, forecasting and pipeline management, coverage and capacity planning, and sales process design and optimization with a push toward AI and automation to increase efficiency. The role also emphasizes sales excellence evangelism, partnering with Central Operations, Analytics, Systems, and Enablement to standardize processes, support QBRs and compensation tracking, and manage change with new tools and cadences.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, helping employees balance family, personal goals, and priorities. - The role is a highly visible strategic partner to Senior Sales Leadership, supporting Public Sector Account Executives, driving in-period performance, scalable growth, and bridging from business intelligence to the C-suite. - Responsibilities include field partnership and insights, forecasting and pipeline management, coverage and capacity planning, and sales process design and optimization, with a focus on adopting AI and automation to improve efficiency. - The position aims to drive revenue growth through standardized sales practices, accountability, and equitable territory coverage, including headcount planning and governance-aligned staffing. - Collaboration with Central Operations, Analytics, Systems, and Sales Enablement will support QBRs, compensation tracking, performance reporting, and change management as new processes and tools are implemented.

- Atlassian offers flexible work options—office, remote, or hybrid—and hires globally where it has a legal entity, supporting employees’ family and personal priorities. - The Global Sales Center of Excellence Lead for the Teamwork Collection (Mid-Market) will be the dedicated global owner of sales performance, strategic execution, and revenue growth for Atlassian’s largest customer and seller segment, reporting to the Global Head of TWC Sales. - The role involves designing and implementing the global operating plan, building repeatable strategic sales plays, and partnering across Sales Leadership, SDR, Channel, Demand Generation, Product, and Marketing to maximize pipeline, accelerate deal velocity, and capture market expansion opportunities. - The ideal candidate is a senior, metrics-driven go-to-market leader who can influence cross-functional teams, translate complex platform and AI value propositions into scalable sales execution, and scale field readiness and seller onboarding without specialist overlays. - This position offers opportunities to shape the future of teamwork at global scale by orchestrating enterprise SaaS sales motions, establishing rigorous inspection rhythms, and turning strategy into measurable field success.

Atlassian offers flexible work options—office, from home, or a combination—and supports employees’ family and personal goals, hiring globally where it has a legal entity. The role is Global Sales Center of Excellence Lead, Teamwork Collection (Mid-Market), the global owner responsible for sales performance, strategy, and revenue growth in Atlassian’s largest customer and seller segment. Reporting to the Global Head of TWC Sales, you will be at the intersection of go-to-market strategy, cross-functional orchestration, and revenue delivery. You will design and implement the global operating plan, build repeatable strategic sales plays, and partner across Sales Leadership, SDR, Channel, Demand Gen, Product, and Marketing to maximize pipeline creation, accelerate deal velocity, and capture market expansion opportunities. The ideal candidate is senior, metrics-driven, with enterprise SaaS sales motion experience, able to translate platform and AI value into clear, scalable sales execution, and ready to scale field readiness and onboarding to shape teamwork at global scale.

Atlassians can choose to work in an office, from home, or a combination, and Atlassian hires in any country where it has a legal entity. The role involves enhancing Oracle Fusion and RevPro to support business changes and integrating Fusion with Salesforce, Stripe billing, Zuora RevPro, Blackline, and Avatax. It includes architecting and designing various business apps for process automation, managing quarterly project roadmaps, and prioritizing enhancements with transformation and cross-flow teams. The position requires coordinating with teams to resolve production issues as part of Run the Business on Fusion and Zuora RevPro, and collaborating with Commerce, Sales, and Data Engineering to optimize processes and digitalize solutions. It also involves working with SaaS vendors and contractors, administering, testing, improving, and automating the Oracle Fusion system for Finance and Accounting Operations globally, with a 40-hour workweek (Mon-Fri, 8:30 a.m.–5:30 p.m.) and a salary of $232,700 per year.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where they have a legal entity. The role is fully remote but must be located in the US Pacific or Mountain time zones. They are seeking a Fullstack Software Engineer focused on delivering creative improvements for their engineering teams. Responsibilities include building REST APIs powering core customer experiences and developing customer-facing React components. Additional duties involve configuring monitoring for backend services, building CI/CD pipelines, integrating with their content management system, and ensuring features and services are reliable.

Atlassians can work in an office, from home, or a combination, giving people control over family, personal goals, and other priorities. Atlassian hires people in any country where the company has a legal entity; for this role, the position is fully remote but must be located in US Pacific or Mountain time zones. The role is a Front End Software Engineer reporting to an Engineering Manager, collaborating with design and product management to influence the product direction and deliver capabilities customers love. Responsibilities include delivering projects autonomously from technical design to launch and building client code that is efficient, fast, testable, scalable, and high quality, while promoting collaboration to understand user pain points. You will partner with design, product, and other engineering teams to develop delightful customer experiences, contribute to code reviews and documentation, and handle complex bug fixes.

Atlassian offers flexible work options (office, remote, or hybrid) and hires people in any country where it has a legal entity. The role aims to drive creative improvements across Atlassian's engineering organization, focusing on designing, building, and operating core identity services and delivering features end-to-end—from technical designs to testing, CI/CD deployment, and monitoring SLOs. Responsibilities include maintaining operational excellence through on-call participation, incident response, and post-incident reviews, and developing automation to minimize manual toil. The role also involves mentoring peers, conducting design and code reviews, improving documentation, and enhancing the overall developer experience, while championing security best practices and embedding privacy-by-design into authorization workflows. It is a full-time position (40 hours/week, Mon-Fri, 8:30 a.m.–5:30 p.m.) with a salary of $196,600 per year.

Atlassian offers flexible work locations, allowing office, home, or hybrid arrangements to support employees’ family, personal goals, and priorities. They hire people in any country where they have a legal entity. The role is within Atlassian’s Focus Funds and AI team, focusing on building reliable software features and services. Responsibilities include building REST APIs powering core customer experiences, configuring monitoring for backend services, building CI/CD pipelines, and developing platform integrations with the content management system. It’s a full-time position (40 hours/week, Mon–Fri, 8:30 a.m.–5:30 p.m.) with a salary of $227,000 per year.

Atlassian offers flexible work locations, letting employees choose office, remote, or hybrid to support family, personal goals, and other priorities. The company hires people in any country where it has a legal entity and operates in a highly scalable, cross-geo distributed environment to build and ship new features daily. Teams collaborate with engineers, architects, product managers, and designers, participate in code reviews that emphasize readability, and mentor others through knowledge-sharing sessions. The role emphasizes testing best practices, documentation, reliability, security, and performance, with visibility, error reporting, and monitoring of backend services. Work is 40 hours per week, Monday through Friday, 8:30 a.m. to 5:30 p.m., with a salary range of $165,131 to $196,225 per year.

Atlassian offers flexible work options—office, remote, or hybrid—to help employees support family and personal goals. They hire in any country with a legal entity, but the role described is fully remote and requires you to be in a US time zone. They’re seeking a Backend Software Engineer focused on delivering creative improvements for their engineering teams. You’ll build and ship features daily in a highly scalable, cross-geo distributed environment, collaborating with engineers, architects, product managers, and designers, while reviewing code with emphasis on readability, testing, documentation, reliability, security, and performance. You’ll also mentor teammates, ensure full visibility, error reporting, and monitoring of high-performing backend services, and participate in Agile development, including daily standups.

Atlassian supports flexible work locations (office, home, or hybrid) and hires globally where a legal entity exists. As Manager of the Commercial Solutions Engineering team for DX (getdx.com), you will lead a high-performing team of technical advisors to grow the DX product in the mid-market and commercial sectors, serving as a bridge between Sales, Customer Success, Product, and Engineering leadership. You will scale pre-sales strategy, coach SEs through fast-paced sales cycles, drive deal strategy and POC oversight, standardize POC playbooks and demos, map DX capabilities to business outcomes, optimize processes, and allocate SE resources across the pipeline while advocating for customers in leadership meetings. You will partner with Sales, Product, and Engineering to prioritize roadmap items based on technical friction and market trends, and you will define and track KPIs to align SE performance with revenue targets. Qualifications include 5+ years in Pre-Sales/Solutions Engineering with at least 2 in a leadership role, a track record in mid-market/commercial sales, experience building scalable sales processes, deep engineering context (SDLC, DORA, SPACE), familiarity with APIs, SQL, and Git, and strong stakeholder management and conflict-resolution skills.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, with this role welcoming applicants from all of France. It is a Senior Solution Sales Executive role within the EMEA Enterprise Solution Sales team, reporting to the Manager of Solution Sales, Service Collection. You’ll drive adoption of the Service Collection across French-speaking accounts, working closely with Account Executives, Solution Engineers, Partner Teams, and Product to deliver customer outcomes, with a focus on net-new business, cloud migration, and expansion. Why join: be the ITSM/ESM expert and primary advocate for service-management capabilities across the region, enjoy the stability and brand equity of Atlassian plus the speed of a high-growth unit, and participate in strategic deal architecture. You’ll drive ITSM/ESM sales growth across French-speaking markets, build relationships with senior IT and business leaders, lead end-to-end sales cycles, identify displacement opportunities, tailor the Service Collection narrative with cross-functional teams, and provide feedback to Product, Marketing, Engineering, and GTM teams while forecasting accurately and maintaining deal visibility.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity, helping employees balance family and personal goals. They are seeking a Senior Backend Software Engineer to join a world-class, empowered engineering organization focused on AI, cloud adoption, and delivering value across Jira, Confluence, Trello, and Bitbucket. The role involves driving large, complex projects autonomously from design to launch, tackling architecture challenges, and applying architectural standards to new projects. Responsibilities include leading code reviews and documentation, fixing high-risk bugs, setting an example for thorough reviews, collaborating across teams on company-wide initiatives, and mentoring junior engineers while transferring knowledge to Java. The company emphasizes collaboration and aims to be a 100-year organization that empowers teams to do their best work.

Atlassian offers flexible work options—office, home, or hybrid—and hires in any country where a legal entity exists. As a Principal Software Engineer in Confluence AI, you'll lead development of high-quality AI experiences that help teams create, discover, and collaborate on knowledge, shaping technical strategy across the full stack and driving adoption and trust. You will drive technical leadership and execution, guiding complex decisions, leading large initiatives from architecture to launch, and setting direction across user experiences, backend services, and AI integrations. In AI quality and product adoption, you'll apply generative AI, retrieval, agents, and evaluation to improve usefulness and accuracy, build quality into the lifecycle, prototype emerging tech, and partner with ML and platform teams to improve grounding, safeguards, and continuous improvement while measuring activation and retention. You will collaborate cross-functionally, mentor engineers, raise engineering standards, share knowledge, and make decisions by balancing customer impact, feasibility, risk, and cost to align Confluence AI strategy with Atlassian platform direction.

Atlassian offers flexible work options—office, home, or hybrid—and hires people in any country with a legal entity; the Bengaluru office is available, but eligible candidates can work remotely across India. They are seeking a Principal Backend Software Engineer to join the team, focused on delivering creative improvements for engineering teams. The engineering culture aims to build a world-class, empowered organization that prioritizes AI and the cloud transition, supporting Jira, Confluence, Trello, and Bitbucket. In this role you’ll tackle large, complex problems from design to launch, determine plans of attack on big projects, handle complex architecture challenges, and lead code reviews, documentation, and high-risk bug fixes. You’ll also transfer your depth of knowledge across languages, mentor junior engineers, and partner across teams on company-wide initiatives.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires globally where they have a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. - The company aims to help customers compete in the digital economy, has built a multi-billion-dollar, fast-growing software business with hundreds of thousands of paying customers and millions of users, and cultivates an open, collaborative, customer-focused culture. - The Strategic Solution Sales team drives adoption of select products for top customers, while the Solutions Sales Executive acts as a customer champion, feeding feedback to product and engineering and optimizing the customer experience, leading a territory in partnership with account managers, solution engineers, channel partners, and marketing/product teams. - The role requires defining a territory vision, regularly communicating funnel and status, and collaborating across the organization and with partners to educate prospects on ITSM and Atlassian offerings, leveraging tools like Salesforce, G-Suite, Slack, and Zoom for virtual, remote, and on-site engagement. - Requirements include 7+ years of enterprise software sales (with a focus on ITSM, workflow/automation, digital transformation, agile PPM, or similar), multi-channel sales experience, strong ROI/value positioning, executive communication skills, and a coachable, ego-in-check, customer-first mindset.

- Atlassian offers flexible work options—office, home, or a mix—with remote work available across India and the ability to hire in any country where it has a legal entity. - The company aims to build a world-class engineering organization within a unified R&D team, focusing on cloud adoption while delivering value across Jira, Confluence, Trello, and Bitbucket. - You will report to an Engineering Manager in the R&D teams and join an open, collaborative environment with engineers, architects, product managers, and designers. - Your responsibilities include building and shipping features daily in a scalable, cross-geo distributed environment, reviewing code for readability, testing, documentation, reliability, security, and performance, mentoring teammates, and ensuring visibility and monitoring of backend services. - You will participate in Agile software development, including daily stand-ups, sprint planning, retrospectives, and show-and-tell demos.

Atlassian offers flexible work arrangements—office, remote, or hybrid—and hires in any country where it has a legal entity. The company aims to build a 100-year organization with a world-class engineering team of empowered, well-equipped engineers. Engineering priorities include advancing AI, helping customers migrate to the cloud, and delivering maximum value through Jira, Confluence, Trello, and Bitbucket. They seek people who want to shape the future and believe in collaboration to achieve extraordinary results. In this role, you will build high-performing client code, collaborate across disciplines, contribute to code reviews and documentation, fix complex bugs, lead projects end-to-end, and mentor junior engineers.

- Atlassian supports flexible work locations (office, home, or hybrid) and hires globally wherever it has a legal entity. - As a Senior Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and influence product, engineering, and design. - You’ll code across the Atlassian product suite and lead the design, development, and deployment of AI/ML-powered solutions using Rovo tailored to customer needs, and architect robust integrations with Python/JavaScript focused on APIs, microservices, and enterprise-scale systems. - You’ll influence product direction with customers, champion AI-augmented workflow automation, oversee end-to-end production deployment with ongoing evaluation, and navigate risk and compliance (AI risk, GDPR) while mentoring others and communicating clearly to stakeholders. - The role is high-visibility and high-impact, requiring alignment of technical solutions with business objectives and a clear vision for measurable progress; more details are at the link.

- Atlassians can choose where they work—office, home, or a hybrid—and the company hires people in any country where it has a legal entity. - The AI & ML Platform Team builds and runs the infrastructure that underpins Atlassian’s AI, ML, and Search capabilities, with a mission to democratize AI/ML for teams, customers, and the ecosystem by providing foundational, user-friendly, and reliable tools that accelerate development, deployment, measurement, and operation. - The team owns infrastructure for running advanced generative LLMs, a GPU-accelerated model serving platform, data access and training infrastructure, feature stores for personalized recommendations, and other capabilities, and works closely with product and search stakeholders to deliver Atlassian Intelligence features. - The AI Platform Team is distributed across Australia, India, Singapore, and the US, and sits within the Central AI organization alongside Search & Conversational AI teams. - They focus on building effective teams, coaching and developing engineers, contributing to engineering and operational practices with a continuous improvement mindset, and pursuing thought leadership to influence how the company uses the platform.

Atlassian offers flexible work locations and this is a remote role based in India, joining the Responsible AI & AI Safety engineering team to build safety platforms powering Atlassian Intelligence and Rovo. The Senior Machine Learning Engineer will design, train, fine-tune, and deploy ML/LLM-based guardrail and moderation models to safeguard user inputs and model outputs across Atlassian products. They will build offline and online evaluation frameworks, adversarial test suites, and LLM-as-a-judge pipelines to measure precision, recall, false positives, and robustness against drift, while optimizing for real-time low-latency serving with P50/P99 targets. The role involves researching defenses against adversarial prompts, jailbreaks, data leakage, hallucinations, and unauthorized tool-calling, and supporting governance and compliance with standards like EU AI Act, ISO 42001 / AIMS, and FedRAMP through audit logging and watermarking. Collaboration with engineering managers, staff engineers, data scientists, and product managers to guide technical strategy and mentor junior engineers is essential, along with teams in the USA, Australia, and New Zealand and expansion to India.

- Atlassian offers flexible work options—office, home, or a hybrid arrangement—to give staff greater control over family, personal goals, and other priorities. - They hire people in any country with a legal entity, and with sufficient timezone overlap, eligible candidates for this role can be hired from Australia and New Zealand. - If this sparks your interest, apply today and chat with our friendly Recruitment team. - Our team brings together developers and designers who build simple, beautiful, and consistent web app experiences, and we embrace growth, learning, agility, lean documentation, and challenging each other to improve while validating ideas about users through various testing approaches. - In this frontend-focused role, you’ll join product and platform teams to design, build, and maintain the services and infrastructure powering Atlassian Cloud, delivering always-on, low-latency, high-concurrency microservices and driving broad technical work across greenfield projects to future-proof the platform by designing, implementing, integrating, tuning, and resolving issues in new microservices, libraries, tools, and applications.

Atlassian supports flexible work locations and conducts interviews and onboarding virtually as part of being distributed-first; this position is fully remote but requires you to be located in the IST time zone. The company seeks a Senior Engineering Manager for the Jira Platform to help turn its vision of Jira as the trusted system of record and control plane for enterprise-scale human and agent teamwork into reality, shaping platform capabilities, technical strategy, and engineering practices. The work is guided by three forces—AI transformation, enterprise readiness, and efficiency—that aim to enable people and AI agents to collaborate, earn enterprise trust at cloud scale, and deliver reliable, cost-effective developer productivity for Jira Cloud customers. The role will address two major gaps in API extensibility: reactive gaps driven by migrations and rate limiting, and proactive structural gaps involving governance, enterprise readiness, and an agent-first Jira strategy. You will lead a front-line team of 2-3 scrum teams (12-20 engineers), mentor and coach engineers, influence the technical architecture, and pursue world-class engineering and operational excellence in a challenging, globally dependent environment.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity to support employees' personal priorities. Within Jira Service Management, the ITSM Analytics group builds the reporting and analytics platform that turns IT service management data into actionable insights for IT and service teams. The ITSM Analytics team owns JSM's end-to-end reporting surface, including Custom Metrics, JSM Insights (SLA-breach engine and GraphQL APIs), Operations Reports, Assets Reporting, and the JSM Summary Page. It is a full-stack team covering frontend dashboards, metric-authoring UIs, backend GraphQL APIs and data pipelines, and reporting data infrastructure, with high ownership and a path from early access to general availability focusing on performance, scale, data quality, and observability. The role is to lead a charter-defining team building Atlassian's ITSM analytics engine, spanning greenfield to scale (Custom Metrics, Insights, Ops & Assets reporting), with deep technical work across data platform, GraphQL, and modern React frontends; grow a multi-pod team, set technical direction for a large data domain, and own enterprise GA outcomes.

At Atlassian, you can work in an office, from home, or a combination, and the company hires globally where it has a legal entity, with roles in Australia and New Zealand available given sufficient timezone overlap. They’re seeking engineers to join Sydney engineering teams (Jira Server, Jira Cloud, Growth) and wantSenior Software Engineers who are highly capable, take on significant responsibility, and serve as mentors. Atlassian values the ability to learn, so you don’t need Java experience to interview—the stack is primarily Java but also includes Kotlin, Golang, Python, and Ruby, and you can code in your strongest language during the interview. The role involves driving large, autonomous projects from design to launch, planning approaches, tackling complex architecture, and applying architectural standards across new projects. You’ll lead code reviews and documentation, fix high-risk bugs, collaborate across teams on company-wide initiatives, transfer your knowledge to excel in Java, and mentor junior teammates.

Atlassian offers flexible work options—office, home, or hybrid—and hires in any country with a legal entity, including Australia and New Zealand if there’s sufficient timezone overlap. They’re looking for skilled Developers to join Sydney engineering teams (e.g., Jira Server, Jira Cloud, Growth) who will help shape the future by enabling thousands of teams worldwide to get work done. The company emphasizes growth and learning, expecting excellence but encouraging ongoing development in one or more tech stacks, and not requiring immediate Java expertise. For the interview, candidates can code in the language they’re strongest with, even if they don’t have Java experience, since Atlassian uses multiple languages such as Kotlin, Python, and Ruby. Responsibilities include driving projects from design to launch, applying architectural standards, contributing to code reviews and documentation, tackling complex bugs, writing technical docs, learning Java, and mentoring junior team members.

At Atlassian, employees can work in-office, from home, or in a hybrid setup, and the company hires globally where it has a legal entity, but this role requires the candidate to be located in the United States. The role collaborates with engineering teams and technical leaders across the United States, Australia, and India within Atlassian’s Dev AI engineering organization, which builds AI-native developer experiences and autonomous SDLC capabilities impacting Jira, Bitbucket, and the Teamwork Graph. It is a high-leverage, individual-contributor Senior Principal Engineer position responsible for organization-wide technical leadership, shaping multi-year architectures for autonomous developer agents, runtime sandboxes, agent orchestration, and context-retrieval infrastructure. Responsibilities include establishing technical direction, leading cross-organizational initiatives, resolving architectural ambiguity, and raising engineering quality, while partnering with engineering managers, principal engineers, product and platform teams, and security specialists to deliver coherent, reusable platform capabilities. Key focus areas encompass Technical Leadership & Architectural Strategy, Agentic Architecture & SDLC Foundations, Trust, Reliability & Operational Excellence, and Cross-Functional Influence & Engineering Craft, covering roadmaps, scalable runtimes, code-intelligence capabilities, production readiness, incident remediation, mentorship, and strategic prototypes.

Atlassian supports flexible work arrangements and hires globally for this role, with interviews and onboarding conducted virtually as part of a distributed-first approach. The Partner Solutions Architect – Accenture role, reporting to the Head of Partner Solutions - AMER, aims to co-innovate with Accenture to create differentiated industry solutions and AI integrations on the Atlassian Cloud using Teamwork Graph and Rovo. The Future Team brings together experts in Solution Architecture, Applied AI & Extensibility, Enterprise Work Management, and GTM to build deep GSI technical capabilities that enable Accenture to offer high-value offerings, industry blueprints, and AI-enabled workflows. Responsibilities include leading Accenture’s technical strategy and architecture roadmap, designing repeatable joint solutions and AI agents, driving AI maturity through design sessions and bootcamps, and unifying enterprise data from ecosystems like Salesforce and SAP into the Teamwork Graph to deliver business outcomes. You’ll also support strategic enterprise co-selling, act as a bridge between Accenture and Atlassian product teams, and publish reference architectures and playbooks to guide global delivery.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally wherever they have a legal entity. As a Senior ML Systems Engineer on the Search Platform, you will own the design, development, and production deployment of ML systems powering search across Atlassian products like Jira, Confluence, and Rovo. You will design and implement scalable search serving infrastructure, including retrieval pipelines, vector indexing, and embedding-based semantic search, and drive end-to-end ML delivery across multiple regions and tenants with high-throughput, low-latency goals and SLO targets. Your work includes ML model development and serving (neural rankers, embeddings, reranking) integrated via Triton/PyTorch, collaborating with ML researchers to translate experiments into production-ready systems, plus agentic and RAG-specific retrieval systems with personalized indexes and grounding workflows, in partnership with Rovo and AI platform teams. You will also ensure operational excellence and cost discipline through observability, monitoring, incident response, FinOps, capacity planning, on-call readiness, and you’ll collaborate cross-functionally to define roadmaps, mentor juniors, review designs, and promote engineering best practices.

- Atlassian supports flexible work options (in-office, remote, or hybrid) to help staff manage family and personal goals. - They hire people wherever they have a legal entity, and this role is fully remote but must be located in Canada within the PST or MT time zones. - They’re looking for a Senior Fullstack Software Engineer to join the team. - The role involves guiding technical direction for large-scale features, evaluating trade-offs, and collaborating with product, design, and engineering to shape strategy. - Responsibilities include shipping well-tested, secure, maintainable code; addressing production issues; participating in code reviews and documentation; fixing bugs with security and performance in mind; and mentoring teammates.

Atlassian offers flexible work locations, including office, remote, or a hybrid setup, and hires in any country where it has a legal entity. The Product Data Engineering (DE) organization is seeking a Senior Data Engineer to design premier data architecture and solutions that support strategic decision-making. The role involves translating business needs into technical requirements, collaborating with stakeholders, mentoring junior engineers, and leading initiatives to improve system efficiency while partnering with leadership, product engineers, program managers, and data scientists. Responsibilities include building scalable data solutions, developing ELT/ETL pipelines, designing robust data models, implementing data quality frameworks, owning the end-to-end data engineering lifecycle, and participating in on-call rotation. The position emphasizes enabling rapid, self-service data consumption by collaborating with software teams to build next-generation data systems.

Atlassian offers flexible work options—office, remote, or a mix—and can hire people in any country with a legal entity. The Product DE organization is seeking a Senior Data Engineer to design premier data architecture and translate operational needs into technical requirements. The role involves partnering across engineering, mentoring junior engineers, and collaborating with leadership, product engineers, program managers, and data scientists to understand and prioritize business data requirements. Responsibilities include designing scalable data solutions, developing, launching, and optimizing ELT/ETL pipelines for large-scale and specialized datasets, building robust data models, implementing data quality frameworks, and owning the end-to-end data engineering lifecycle. You will participate in on-call rotations for platform stability and partner with software teams to build next-generation data systems enabling rapid, self-service data consumption.

Atlassian offers flexible work options (office, home, or a mix) and hires people in any country with a legal entity. The role is fully remote but must be located in Canada within the PST or MT timezones. You will drive large, autonomous projects from design to launch and tackle complex architecture challenges while applying architectural standards to new projects. You’ll lead code reviews and documentation, handle high-risk bug fixes, set an example for thorough reviews, and partner with engineering teams on company-wide initiatives across multiple projects. The role also involves transferring your knowledge to excel as a Java developer and includes mentoring.

Atlassian offers flexible work options—office, home, or a hybrid model—and hires people in any country where the company has a legal entity. The DX Sales Enablement Specialist will own the delivery engine that makes enablement programs repeatable, usable, and scalable. Primary responsibilities include building and maintaining AE and SDR onboarding content and learning paths, facilitating onboarding sessions and skills training, and handling all program logistics and follow-up. The role also maintains the onboarding hub and libraries, creates playbooks and training materials, coordinates the monthly GTM enablement cadence with cross-functional teams, and collects and reports feedback and metrics. In addition, the position supports GTM/product launches with learner materials and coordination, builds the SDR enablement program after the AE foundation is established, and assists with other priority enablement initiatives as needed.

At Atlassian, employees can choose where they work—office, home, or hybrid—and the company hires in any country where it has a legal entity, giving staff flexibility to support their personal goals. They’re seeking a versatile, senior sales data analyst or analytics engineer to drive data alignment between enterprise go-to-market and finance, designing robust data pipelines to monitor data drift among systems like Salesforce, Oracle Fusion, Gainsight, and Databricks. The role involves evolving the data stack, championing best practices in data processing and analytics design, and building a robust AI context layer to enable safe interaction by AI agents, along with canonical datasets built from high-volume ETL/ELT pipelines using data lake and data warehousing concepts. Responsibilities include partnering with finance and other cross-functional teams to track data inconsistencies that affect the company’s ability to close books, executing sizing analyses for infrastructure changes, and owning SME-level data transformations from requirements through UAT to deployment for new products or data structures. The candidate will leverage tools to improve efficiencies, reduce manual processes in partner teams, and investigate bugs or deficiencies with QA and UAT for bug fixes and feature releases.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity, seeking a versatile senior sales data analyst or analytics engineer to align data between enterprise go-to-market and finance. The role focuses on designing robust data pipelines and infrastructure to monitor data drift across systems like Salesforce, Oracle Fusion, Gainsight, and Databricks, and building a robust AI context layer for safe agent interaction. Responsibilities include designing, building, and maintaining data infrastructure for quality, consistency, and accessibility, leading data product development, and enabling scalable analytics via the AI context layer. Additional duties involve canonical datasets through high-volume ETL/ELT pipelines, partnering with finance and cross-functional teams to flag data inconsistencies affecting financial close, and performing sizing analyses for transformational changes with impact analyses. The position requires SME-level ownership of core system data transformations from requirements through UAT to implementation, plus leveraging tools to improve efficiencies, reduce manual processes, and conducting UAT/QA on bug fixes and feature releases.

At Atlassian, you can work where you want and the company hires globally; the Confluence Aggregation team ingests content from tools like file drives, chats, code hosts, CRMs, and data platforms so Confluence can answer with up-to-date, properly permissioned information. The role owns turning connected content into self-maintaining knowledge in Confluence—deciding what to pull in, how to group and title it, how it stays current, and when to flag missing content, with three audiences in mind: admins, space owners, and end users. Responsibilities include defining the data shape from unstructured and semi-structured inputs, managing freshness/decay, setting retrieval quality (permissions fidelity, accuracy, latency), determining what does not ship, and owning the quality evaluations for LLM-powered outputs. You will drive cross-functional execution, set the product bar, mentor PMs, present recommendations to executives, and determine how AI should behave when it errs and when to ship vs hold features. The role seeks 8+ years in product management with a core content/retrieval/model-powered product, experience shipping 0-to-1 products and LLM-powered features with strong AI product judgment, plus nice-to-haves like integrations (Google Workspace, Microsoft 365, Slack, Salesforce), knowledge-management or enterprise-search background, and hands-on prototyping/eval tooling.

Atlassian supports flexible work arrangements, allowing employees to work from an office, from home, or in a hybrid setup to fit personal priorities. They hire in any country where they have a legal entity. The company is seeking a Principal Fullstack Software Engineer focused on delivering creative improvements for engineering teams. The role involves understanding the user journey, collaborating across product, design, and engineering to influence strategy, guiding technical direction for large-scale features, evaluating trade-offs, debugging inefficiencies, and delivering secure, maintainable code. Additional responsibilities include code reviews, documentation, complex bug fixes with emphasis on security and reliability, mentoring teammates, improving the growth engineering team, and identifying blockers to sustain engineering excellence.

1) Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid arrangement to support family, personal goals, and other priorities. 2) They can hire people in any country where they have a legal entity, and this role is fully remote but must be located in US Pacific or Mountain time zones. 3) They are seeking a Back End Software Engineer to join the team, aiming to deliver creative improvements for engineering teams. 4) Responsibilities include building REST APIs that power core customer experiences and configuring monitoring for backend services. 5) Additional duties involve building CI/CD pipelines, developing integrations with the content management system, and delivering features and services with reliability in mind.

- Atlassian offers flexible work locations—office, home, or a mix—and hires in any country where we have a legal entity. - Atlassian aims to unleash the potential of every team with tools like Jira Software, Confluence, and Jira Service Management, used by the Fortune 500 and over 300,000 companies including NASA, Audi, Kiva, Deutsche Bank, and Dropbox. - The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first sales opportunities plus cross-sell and expansion opportunities, while advocating for customers and feeding feedback to product and engineering. - In this role you will own a book of ~40 accounts (200-10,000 seats), drive Net New growth and expansion, hold a $2-4M annual quota (territory-dependent), and lead a cross-functional deal team to establish clear territory and account plans. - You will build executive relationships across business groups, qualify and win complex opportunities using MEDDPICC, collaborate with channel, marketing, product, and customer success, manage contracting and forecasting, stay current on industry trends, and travel occasionally for meetings and events.

Atlassian supports flexible work arrangements—office, home, or a hybrid model—and hires people in any country where it has a legal entity. For this Principal Backend Software Engineer role, eligible candidates can be located anywhere in Australia or New Zealand with sufficient timezone overlap with the team. The company aims to build a 100-year engineering organization of empowered teams, prioritizing AI initiatives and helping customers migrate to the cloud while delivering value across Jira, Confluence, Trello, and Bitbucket. In this role you will regularly tackle the largest and most complex problems, from technical design to launch, and deliver solutions used by other teams and products. You will lead code reviews and documentation, handle complex bug fixes, set architectural standards, partner across engineering teams on company-wide initiatives, and mentor junior engineers while transferring knowledge across languages.

Atlassians can choose where they work—office, home, or a mix—and the company hires in any country where it has a legal entity. As Manager of the EMEA Solutions team for DX (getdx.com), you will lead a high-performing team of Solutions Engineers and Solutions Architects to drive DX growth across EMEA and serve as a bridge between Sales, Customer Success, Product, and Engineering leadership. You will scale the technical strategy across pre-sales and post-sales, coaching SEs and SAs through discovery, POCs, and implementation, and partner with EMEA Sales and CS to ensure the platform meets the needs of rapidly growing engineering organizations. Core responsibilities include team development (recruiting, onboarding, mentoring), pre-sales strategy and deal support, implementation strategy and support, and process optimization to standardize playbooks and handoffs. You will also manage resource allocation across the EMEA pipeline, advocate for customers in cross-functional leadership discussions, and define KPIs to align with regional revenue targets and successful technical delivery.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where they have a legal entity. They’re seeking an enthusiastic Associate Solutions Engineer in an early-career role to collaborate with the enterprise sales team and regional partners, learn customer discovery, strategize across scenarios, deliver engaging demonstrations, and help drive business closures. The team serves over 300,000 customers like NASA, IBM, HubSpot, Samsung, and Coca-Cola, uses a value-selling approach, emphasizes a culture of “play as a team,” and notes that employees work with Atlassian, not for Atlassian, with high earnings potential ahead in cloud and AI. Key responsibilities include learning with senior Solutions Engineers, identifying cross-product opportunities, solving technical problems, developing product expertise, delivering value-driven demonstrations, collaborating with sales, and gathering customer feedback to influence product improvements. Qualifications include a bachelor’s degree or equivalent, 1–3 years in presales/solution engineering or equivalent customer-facing tech roles, knowledge of Atlassian’s products, a strong desire to learn, excellent organization and communication skills, and a collaborative, hands-on problem-solving mindset.

Atlassian is a distributed-first company with flexible work locations and virtual interviews, hiring in any country where it has a legal entity. The Intern program combines hands-on technical training, mentorship, and social connections to support students’ growth, with a paid 12-week internship typically from May/June to August/September 2027, and a preference for co-location in Seattle or the Pacific Standard Timezone. The PhD Research Intern will join the Machine Learning Research team to work on advanced ML/AI topics, including large language models, Generative AI, conversational agents, and AI optimization for Enterprise applications. Interns will gain hands-on experience in both foundational research and practical applications, collaborating with researchers and engineers to train, evaluate, and optimize AI models used by millions of customers. Responsibilities include cross-functional collaboration, data curation, continued training and alignment of LLMs for specialized tasks, rigorous evaluation, and contributions to publications and presentations at internal workshops or top-tier academic venues.

- Atlassian offers flexible work options (home, global offices, or both) and hires in any country where the company has a legal entity. - The Grad++ program combines hands-on technical training, professional growth, mentorship, and strong social connections to prepare students for impactful careers at Atlassian. - The role is preferred to be co-located in British Columbia and is not eligible for employer sponsorship at hire; applicants who may require sponsorship later should indicate this in their application. - Atlassian’s mission is to unleash the potential of every team, with AI/ML transforming how teams plan, track, and deliver work across software and business domains. - The ML Engineer role sits in the Machine Learning Research team, focusing on LLMs, Generative AI, Search, Conversational Agents, and AI Optimization, with responsibilities including designing architectures, conducting experiments and evaluations, applying AI/ML to product problems, and contributing to Atlassian Intelligence features.

- Atlassian supports flexible work arrangements (home, global offices, or both) and hires in any country with a legal entity, reflecting a distributed work model. - The Grad++ program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to set students up for a successful Atlassian career. - The preferred location for this role is co-located in Seattle, WA or San Francisco, CA, as Atlassian aims to unleash the potential of every team through its products. - The Machine Learning Research team focuses on advanced ML/AI technologies, including LLMs, Generative AI, search, conversational agents, and AI optimization, to drive enterprise impact. - Responsibilities include designing system and model architectures, conducting rigorous experimentation and evaluations, applying AI/ML to product problems, and contributing to Atlassian Intelligence features.

Atlassian hires people in any country where it has a legal entity and offers remote or office work depending on time zone overlap, with interviews and onboarding conducted virtually as part of its distributed-first approach. The role is Senior Solution Architect for Strategy Collection (Jira Align, Talent, Focus, and Rovo) within Sales and Success, leading high-impact, time-bound engagements that connect strategy to execution and align people and investments to priorities. You’ll work with senior stakeholders across strategy, transformation, PMO, operations, and platform teams to turn Strategy Collection from a purchased product set into an adopted operating model, guiding discovery, solution design, rollout, governance, and value realization. This is not a people manager role; leadership comes from domain expertise, customer architecture leadership, and playbook ownership, and you’ll help shape adoption by codifying best practices and translating field insights. As a senior post-sales practitioner, you’ll partner with account teams, Customer Success Managers, Solution Architects, Services, Support, and Product to accelerate customer maturity, establish repeatable adoption patterns, and translate field insight into enablement and product feedback.

Atlassian supports flexible work locations and hires globally where it has a legal entity. The role is Principal Customer Success Manager in the Enterprise Segment, focused on helping customers realize value from their Atlassian investments. It involves building executive relationships and delivering scalable methodologies for product adoption, solution expansion, and long-term growth across multiple products. The CSM will guide complex enterprise customers and Atlassian account teams, develop Customer Success Plans, navigate multi-partner implementations, and drive early and sustained product adoption. It emphasizes a value-driven, team-oriented culture, with duties including risk mitigation to reduce churn and acting as the Voice of the Customer to inform internal strategy for strategic customers.

Atlassians can work in an office, from home, or a mix, reflecting Atlassian's flexible work options and global hiring in countries with a legal entity. Atlassian is seeking a Pre-Sales Solutions Engineer who will be a product expert in the sales cycle, solving customers' most challenging business problems with Atlassian solutions and helping close enterprise deals. The role involves partnering with account teams and channel partners to discover customer needs, map them to Atlassian products, and identify cross-product opportunities. You will be a broad Atlassian product expert, deliver value-based demonstrations, guide customers' technical requirements to gain buy-in, and foster strong partnerships with sales counterparts. It also requires collecting product feedback and competitive intelligence, advocating for internal development, and continuously learning to refine pre-sales knowledge and processes.

Atlassian offers flexible work locations—office, home, or a hybrid arrangement—and hires in any country where it has a legal entity to support employees' priorities. DX's Solutions Engineering Team at Atlassian is seeking a Pre-Sales Solutions Engineer to be a key driver in the growth of the DX product (getdx.com). The role involves serving as the solution expert throughout the sales cycle and helping close critical deals by solving complex client problems using Atlassian's products and solutions. Responsibilities include leading technical evaluations with Account Executives, driving POCs and pilots, and ensuring demonstrations clearly show platform value and feasibility. Additional duties cover technical discovery, consultative questioning, designing tailored API integrations, acting as a trusted advisor on deployment and analytics, and feeding back client insights to product and engineering to influence roadmap priorities.

Atlassian offers flexible work options (office, remote, or hybrid) and is hiring a Machine Learning Engineer for Growth to turn behavioral and product signals into scalable ML systems that support the customer lifecycle and drive engagement and value. The Growth organization brings together product, engineering, data science, analytics, and product operations to improve how customers discover, adopt, and expand Atlassian, using experimentation, personalization, and intelligent orchestration across acquisition, onboarding, activation, expansion, and retention. The role involves building ML capabilities for personalized recommendations and journeys across surfaces, moving toward a unified, value-aware cross-flow ranking system that uses user context and lifetime value. You will design, build, and operate models and decisioning services for personalized experiences, define the ML strategy, and partner with cross-functional teams to translate opportunities into measurable experiments and production capabilities, including offline policy evaluation and online experiments, while monitoring attribution, latency, quality, and fairness. Requirements include a Bachelor’s or Master’s in CS, 5+ years in ML, strong Python (plus Java/Typescript), SQL, Spark, cloud data environments (AWS, Databricks); experience building large-scale models and datasets with evaluation frameworks; ability to communicate ML concepts to diverse audiences; agile, problem-solving, and collaboration with product/analytics/marketing/sales; familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference; plus optional SaaS/B2B/B2C experience.

Atlassian lets employees choose where to work—office, home, or a mix—and hires people in any country where the company has a legal entity. The company is seeking a Senior Machine Learning Engineer to join the Agentic Search team within Search Relevance, building systems that help people and AI agents discover enterprise knowledge and accomplish tasks across products. The role involves delivering agentic search capabilities through APIs and protocols like the Model Context Protocol, creating reproducible benchmarks, and using evaluation results to improve search, model behavior, interfaces, and context selection while ensuring enterprise permissions and data boundaries. You’ll collaborate with product, search, and AI teams, contribute to design and code reviews, mentor engineers, and advance engineering practices with AI tools, while shaping technical direction and integrating agentic search into customer experiences. Required qualifications include a bachelor’s or master’s in CS or related field (or equivalent), 4+ years of ML experience in production, strong Python, and familiarity with LLMs, information retrieval, and evaluation; preferred extras include experience with tools-using agents, MCP, APIs for AI agents, and distributed data processing on Spark, AWS, or Databricks.

In this role, you’ll be part of Atlassian’s Customer Success Architect team within the Sales and Success department, focusing on adoption of the Rovo AI platform, leading time-boxed, co-built engagements that move customers from “Rovo is turned on” to real, measurable business value, and owning a repeatable, scalable engagement methodology. You’ll partner with enterprise teams, build playbooks, run internal enablement, and maintain relationships with Rovo Product and Engineering, bridging AI and Atlassian platform expertise with customer success leadership to drive measurable adoption outcomes at both the engagement and program levels. You’ll lead through domain expertise and playbook ownership (not direct reports), acting as a technical expert who partners with Pre-Sales, Post-Sales, and Product teams to provide solutions and guidance that help customers achieve their goals and broaden AI adoption. On day one, you’ll facilitate discovery workshops, co-build custom Rovo agents and third-party connectors, design solutions tailored to workflows using Jira, Confluence, and Rovo Studio, deploy from sandbox to production, validate performance, and enable teams to iterate and scale. You’ll own the engagement methodology, onboard and train new team members, synthesize field feedback into product roadmap input, collaborate with Account Teams and CSMs on activation journeys, advocate with Product and Engineering to surface product friction and improve adoption, and travel up to 15% for events and customer meetings.

At Atlassian, employees can choose to work in an office, from home, or a combination, giving them more control to support family and personal goals. They can hire people in any country where there is a legal entity. The role involves driving large, complex projects autonomously from technical design to launch, tackling architecture challenges, and applying architectural standards to new projects. It also includes leading code reviews and documentation, handling complex high-risk bug fixes, and serving as an example for thorough reviews while partnering across engineering teams on company-wide initiatives. The position requires transferring knowledge to excel as a Java developer and mentoring junior team members.

Atlassian offers flexible working options—office, remote, or a hybrid—and hires in any country with a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The Growth Platform team builds foundational systems powering engagement, messaging, and personalized experiences across Jira, Confluence, Trello, Loom, and beyond. As a Principal Frontend Engineer, you will serve as the senior technical authority for client-side architecture across our messaging and personalization engines, leading architectural direction across multiple squads and setting patterns for resilient, fast, accessible, and scalable user experiences. You will define the long-term technical roadmap and architectural patterns spanning distributed backend services, APIs, and client-side integration points for in-product messaging, notifications, personalization, and experimentation frameworks, with an emphasis on scalable server-side systems. You’ll collaborate across Product, Design, Data Engineering, and product-engineering teams to align on full-stack contracts, mentor senior and mid-level engineers, lead design reviews, and promote observability, automated testing, and modern CI/CD practices to ensure high availability and zero-drift experiences.

Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where they have a legal entity. They are seeking product-minded Principal Engineers who are hands-on senior individual contributors, able to balance deep technical craft with strong product judgment and own products end to end. The role involves owning customer-facing features across the full stack (React/TypeScript front ends, backend services, and APIs), making architecture decisions aligned with user and business outcomes, and using telemetry to define success metrics and guide iterations. It also includes designing AI-enabled experiences by integrating LLMs and AI workflows for millions of users, and setting technical direction while collaborating with product managers, designers, and platform teams. Additional responsibilities include raising the engineering bar through code reviews and mentoring, identifying high-leverage problems, prototyping quickly, and driving prototypes to production-grade quality at scale.

At Atlassian, employees can work from anywhere—office, home, or a hybrid—and the company can hire in any country where it has a legal entity to support personal priorities. DX is a Salt Lake City–based, fast-growing SaaS company that collects millions of data points to measure developer productivity and serves notable customers like Pinterest and GitHub. DX was acquired by Atlassian, and the move will expand resources, accelerate growth and R&D, and deliver greater impact to customers. The Commercial Account Executive role involves partnering with DX’s largest customers, identifying productivity pain points, guiding proof-of-concept evaluations, building business cases, and managing a large territory with inbound leads, supported by SDRs, SAs, and leadership. DX’s culture centers on individual mastery and high performance, rewarding those who excel while acknowledging that outcomes can be influenced by external factors beyond one’s control.

Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where it has a legal entity to support employees’ family, personal goals, and priorities. DX is headquartered in Salt Lake City, Utah, a fast-growing SaaS company that helps engineering leaders build high-performing teams by collecting millions of data points on developer productivity and experience, with clients like Pinterest, GitHub, BNY, and Xero; it has grown profitably, tripling ARR in recent years, and was recently acquired by Atlassian. By joining Atlassian, DX will expand resources, accelerate growth and R&D, and deliver greater impact to customers. The Commercial Account Executive role involves partnering with DX’s largest and most strategic customers, uncovering pain points in measuring and improving developer productivity, guiding them through proofs of concept, and building long-term business cases for DX adoption, with a large territory and a high inbound lead volume supported by SDRs, SAs, and leadership. Key responsibilities include developing outbound strategies with SDRs, mastering the sales process, creating tailored documentation, guiding evaluations of our solutions, and establishing DX as a pivotal driver of clients’ business goals, while the company emphasizes individual mastery and high-level performance despite outcomes being influenced by external factors.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity, enabling employees to balance family goals and other priorities. Atlassian is looking for a Pre-Sales Solutions Engineer who will be a product expert during the sales cycle, solving customers' toughest business problems with Atlassian products and helping close enterprise deals. In this role you will partner with account teams and channel partners to conduct customer discovery, identify pain points, and map them to Atlassian products, platforms, and solutions, including cross-product opportunities. You will lead value-based demonstrations, articulate the value of the software, understand customer technical needs to gain buy-in, and forge strong partnerships with sales counterparts while documenting feedback and competitive intelligence for internal product management. Finally, you will continuously learn and refine pre-sales, product, solution, and platform knowledge and Atlassian products progress.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity. The DX Solutions Engineering Team is seeking a Pre-Sales Solutions Engineer to drive growth of the DX product (getdx.com) and help close critical deals. The role includes leading technical evaluations with Account Executives, running POCs and pilots to demonstrate value and feasibility. It also covers technical discovery and strategy sessions, consultative questioning, and designing tailored API-integrated solutions for complex client workflows. Additionally, the engineer acts as a trusted advisor on deployment and analytics best practices and provides technical feedback to Product and Engineering to inform roadmap priorities.

As an SMB+ Core Account Executive, you’ll own the end-to-end sales cycle in a territory of high-potential SMB accounts, focusing on landing new customers, expanding existing relationships through renewals, and converting free instances into paid enterprise-grade solutions. You’ll connect customer challenges to the Atlassian platform (Jira, Confluence, Loom, Rovo) while partnering with Solutions Engineering, Marketing, Channel Partners, and Solution Sales Executives. The role blends customer advocacy with a builder’s mindset, bringing feedback to Product, Engineering, and Marketing, testing new approaches, learning what works, and focusing on scalable growth with a team-first approach. You’ll drive quota and pipeline growth, execute high-impact sales plays, lead platform-based consultative selling, expand multi-product adoption across the Atlassian suite (with Jira Service Management overlays), and use product signals, PQLs, CRM data, and AI-driven workflows to prioritize high-intent accounts and accelerate velocity, while maintaining Salesforce data accuracy and reliable forecasts. You’ll collaborate with regional partners and Channel teams to co-sell and provide implementation support, and continuously improve the sales playbook by sharing market trends, objection patterns, and customer insights with Sales Leadership, Marketing, and Revenue Operations.

Atlassian's Audit Platform and Guard serve as the security and data-governance layer, giving admins centralized controls and visibility to maintain secure, compliant operations at scale. By helping security and IT teams protect sensitive data, uphold governance standards, and manage risk, Guard enables leaders to safely accelerate AI adoption and new ways of working. They are looking for a Mobile Engineer to bring these security and audit experiences to mobile by building native iOS apps that let customers monitor activity, investigate issues, and stay in control on the go. Responsibilities include designing, developing, and shipping iOS features in Swift, turning UX/UI designs into intuitive interfaces, optimizing performance, and ensuring reliability through crash monitoring and robust error handling, plus cross-team collaboration to maintain parity. The role also requires maintaining high test coverage with unit, integration, and UI tests, conducting code reviews, and being comfortable contributing to Atlassian's frontend web stack when needed.

Atlassian's Audit Platform and Guard provide security and data governance with centralized controls and visibility to maintain a secure, compliant posture, enabling leaders to safely accelerate AI adoption and new ways of working. They are hiring a Mobile Engineer to bring these security and audit experiences to mobile via native Android apps for monitoring activity, investigating issues, and staying in control on the go. The engineer will build and ship native Android features, owning capabilities end-to-end from design through testing, rollout, and production support. They will partner with backend, platform, and product teams to deliver cohesive experiences across Atlassian products and will handle sensitive customer data securely with security and privacy built in from the start. The role also focuses on improving app performance, reliability, and the mobile developer experience, with occasional contributions to Atlassian's frontend web stack when needed.

Atlassian supports flexible work arrangements and hires globally in any country with a legal entity, including Canada, as long as there is sufficient timezone overlap with the team. They are seeking a Senior Frontend Software Engineer to design, build, and maintain web frontend systems to deliver excellent user experiences. The role is in the Secoda team, Atlassian's AI-first data catalog and analysis product, a lean team shipping a complex UI for catalog search, lineage, knowledge, dashboards, and an AI chat. Responsibilities include end-to-end feature development in React, performance profiling and optimization for large data structures, collaboration with design and product, and raising frontend quality through reviews, documentation, and bug fixes, especially for high-risk areas, plus mentoring. Atlassian envisions a 100-year company, prioritizes AI and cloud transition, and aims to deliver maximum value across Jira, Confluence, Trello, and Bitbucket.

Atlassian offers flexible work locations (office, home, or a hybrid) with globally hireable staff, and interviews and onboarding are conducted virtually as part of being a distributed-first company. Atlassian's products (Jira Software, Confluence, Jira Service Management) help teams collaborate, and major clients—including Fortune 500 companies and organizations like NASA, Audi, Kiva, Deutsche Bank, and Dropbox—rely on them. The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-sell and user expansion, nurturing relationships, and hitting revenue targets, while advocating for customers and feeding feedback to product and engineering, in close collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers. It also involves developing and executing named Account or Territory plans (in India), driving growth and engagement, qualifying opportunities, conducting product demonstrations, staying informed on industry trends and competitors, and providing regular progress updates to management. Occasional travel to meet clients, attend events, and participate in intentional togetherness gatherings is required, all guided by Atlassian values as the compass for deploying Atlassian at scale.

To realize its vision, Jira Platform will be guided by three forces: AI transformation to make Jira the agent-native system of record and control plane for human+AI teamwork, enterprise readiness to expand features and leverage Project Ascend to bring large enterprises to the Cloud, and efficiency to provide sound economics, faster developer productivity, and world-class reliability. AI transformation aims to make Jira the agent-native system for human+AI collaboration, enterprise readiness focuses on expanding enterprise capabilities and cloud adoption, and efficiency ensures a scalable, reliable platform that supports growing workloads. The future team centers on Jira Scalable Issue Search (JSIS), a foundational investment that moves searches to OpenSearch, handling about 3 billion requests per day with a multi-tenant architecture and 50+ engineers across India and Europe, prioritizing reliability and performance. JSIS is positioned to enable federated search across Jira portfolios and eventually across Atlassian products, unlocking new search experiences and higher volumes from agentic APIs and turning architectural migration into a broader strategic advantage. The team will own the long-term architecture, lead major initiatives across Jira Platform, define a 12–24 month roadmap for shared primitives, raise standards for reliability, performance, observability, security, and operational excellence, and provide hands-on technical leadership and mentorship through design reviews, incident investigations, and high-risk problem solving.

Atlassian's software helps teams plan, track, and collaborate, and its Audit Platform and Guard provide security and data governance to help admins maintain a secure, compliant posture at scale. Guard enables protection of sensitive data, governance, and risk management, helping leaders safely accelerate AI adoption and new ways of working. The company is looking for a Mobile Engineer to bring these security and audit experiences to mobile by building native iOS apps for monitoring activity, investigating issues, and staying in control remotely. The role involves designing, developing, and shipping iOS features in Swift, translating UX/UI designs into accessible interfaces, optimizing performance, and ensuring high reliability with crash monitoring and robust error handling. The engineer will collaborate with backend, platform, and web teams to maintain feature parity, handle sensitive data securely, maintain comprehensive tests, and may contribute to Atlassian's frontend web stack when needed.

Atlassian’s Audit Platform and Guard serve as the security and data-governance layer, providing admins with centralized controls and visibility to maintain a secure and compliant posture at scale. The platform helps security and IT teams protect sensitive data, uphold governance standards, and manage risk, enabling leaders to safely accelerate AI adoption and new ways of working. They’re seeking a Mobile Engineer to bring these security and audit experiences to mobile by building native Android apps that let customers monitor activity, investigate issues, and stay in control from anywhere. The role requires end-to-end ownership—from design through testing, rollout, and production support—collaborating with backend, platform, and product teams to deliver cohesive experiences across Atlassian products. Applicants must handle sensitive data responsibly, improve app performance and reliability, enhance the mobile developer experience, and be comfortable contributing to Atlassian’s frontend web stack when needed.

Atlassian is seeking a Senior Machine Learning Engineer to join the Rovo Agents quality team in Studio to build systems that measure how well AI agents perform and improve them for thousands of companies. Rovo Agents is a model-agnostic cloud platform where teams give agents instructions, knowledge, tools and skills to operate in Jira, Confluence, automation rules, or as autonomous agents. Because customers build agents themselves, quality can’t be checked only before release; we ask three questions of every agent: did it understand the task, did it use its tools and report honestly, and did the result actually help? The role involves designing, building, shipping, and operating evaluation and optimization systems, including offline evaluation suites, regression tests, and online production quality metrics, calibrating judges against human ratings and production signals. The team is based in Sydney and Melbourne with remote options; you’ll own projects end-to-end, contribute to design/code reviews, coach others, and work to improve agent quality across prompts, context, tool use, retrieval and routing while reducing cost and latency.

Atlassian offers flexible work arrangements and hires globally, with this role requiring you to be located in India to collaborate with teams in India, Australia, and leadership in the United States. The position leads the TDP Insights and Atlassian Data Resiliency (ADR) engineering team within the Trusted Data Platform, which provides secure, scalable data capabilities to meet enterprise needs like data residency, encryption, compliance, backup, and multi-cloud operation. TDP Insights turns high-volume telemetry into actionable insights on data location, movement, cost, reliability, and usage to inform decisions on reliability, capacity, cost, compliance, and developer experience, while ADR delivers common backup/restore capabilities, validation, and standardized resiliency across TDP data platforms. Responsibilities include building and developing a high-performing, inclusive team; defining strategy and roadmaps; managing cross-functional dependencies; setting technical and operational standards; and balancing delivery with platform simplification and technical debt. The role also covers owning operational health, incident response, and enterprise needs (data residency, security, disaster recovery, multi-cloud), and requires partnering with product, security, reliability, infrastructure, FinOps, and engineering stakeholders while guiding investment decisions to maximize customer trust and platform value.

Atlassian is seeking a Principal Machine Learning Engineer to set the technical direction for AI agent quality in Studio, a hands-on leadership role that will shape how agents built on the Rovo platform perform. The role owns the agent quality architecture, defining metrics, production traffic sampling, evaluation criteria, and how results roll up without obscuring important failure modes, including applying the three questions of whether an agent understood and followed instructions, used tools correctly, and delivered a helpful result. You’ll design for cost and accuracy, deciding which quality checks can be deterministic, which require behavioral heuristics, and which need contextual model-based judgment, and build the evaluation system around those decisions with benchmarks, datasets, environments and observability. You’ll make quality part of shipping by setting regression gates, pre-release checks, and drift detection on production traffic, while leading hard problems like agent selection and routing, tool-use reliability, and automations without user feedback. You’ll lead technical direction across teams with a multi-quarter roadmap, partner with product, data science and central AI teams and model providers, mentor engineers, and grow ML craft in a team primarily composed of software engineers based in Sydney and Melbourne (with remote options).

At Atlassian, the mission is to unleash the potential of every team, with products like Jira, Confluence, and Bitbucket, and the Bengaluru office offering TEAM Anywhere remote options across India. The KubePlat Team owns Atlassian’s entire Kubernetes ecosystem, managing hundreds of production clusters across AWS, GCP, and regulated environments, along with fleet management, platform-as-a-service, cloud resource provisioning, secure sandboxing, software delivery, and AI/ML infrastructure. The company is undergoing a major transformation to a multi-cloud, cell-based architecture to meet FedRAMP and data-residency requirements and to enable scalable AI training and inference. As a Principal Engineer, you will set the technical direction for Kubernetes, compute, and AI/ML infrastructure, leading engineers across multiple teams on some of the hardest problems and guiding large cross-team initiatives from design to launch. Your responsibilities include defining a multi-year architecture roadmap, designing Kubernetes-native control planes for self-serve resources, improving reliability and security with SLOs and progressive rollouts, optimizing compute and costs, building AI/ML infrastructure for GPU and high-performance workloads, and mentoring senior engineers.

Atlassian supports flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. SMB Account Executives guide customers through the Atlassian cloud journey, with the main goal of demonstrating how Atlassian products align with SMB objectives. Operating at scale, Sales Associates advocate for customers and provide insights to product, engineering, and marketing teams to improve the experience, collaborating with Product specialists and Marketing; SMB AEs focus on the top 30,000 SMB customers. The role reports to the Sales Manager in the relevant geographic region and is remote. Responsibilities include following up on inbound leads, outbound prospecting, qualifying needs via a consultative approach, demonstrating value and ROI, developing territory account plans to meet quotas, and staying informed on industry trends and competitors.

Atlassian offers flexible work locations—office, home, or a mix—with virtual interviews and onboarding as part of its distributed-first approach and hires globally wherever it has a legal entity. The company unleashes the potential of every team with its agile/DevOps, IT service management, and work management software (Jira Software, Confluence, Jira Service Management), used by the Fortune 500 and over 300,000 companies worldwide, including NASA, Audi, Kiva, Deutsche Bank, and Dropbox. Their Mid-Market sales team manages mid-sized customers, pursuing cloud-first opportunities, cross-sell and user expansion, nurturing relationships, and meeting revenue targets, while advocating for customers and providing feedback to product and engineering; colleagues include Channel Partners, Product Specialists, Account Managers, and Solution Engineers. Responsibilities include developing and executing named account or territory plans (India) to maximize expansion and ensure high customer success, driving growth and engagement in the mid-market, identifying opportunities, conducting product demos, coordinating with internal teams to improve satisfaction, and reporting progress to management while staying aware of market trends and competitors. Travel is occasional to meet clients, attend industry events, and participate in intentional togetherness gatherings as required.

Atlassian supports a distributed-first culture with flexible work locations and virtual interviews/onboarding. The Solution Sales team focuses on enterprise-wide, multi-product transformations, with Teamwork Collection executives uniting Jira, Confluence, Loom, and Rovo to drive organization-wide adoption. In this role, you’ll lead end-to-end complex deals and partner with Account Executives, SEs, EDO, and Customer Success to co-sell and close high-ACV opportunities. You’ll champion vendor consolidation and AI-enabled, asynchronous collaboration, positioning TWC as the single system of work and displacing fragmented point solutions. You’ll apply structured methodologies like MEDDPICC and Command of the Message and work with Atlassian Solution Partners and GSIs (e.g., Accenture, Deloitte, PwC) to accelerate migrations and expand deployments.

At Atlassian, employees can choose to work in an office, from home, or a mix, giving them flexibility to support family and personal goals. The company hires people in any country where it has a legal entity. The role includes acting as a knowledge leader in Service Management trends to inform sales strategies and the positioning of Jira Service Management. It also involves developing and executing sales strategies with sales teams to drive revenue growth. Additionally, it emphasizes customer engagement to understand business needs and propose value-based solutions, and it requires cross-functional collaboration with Account Executives, Marketing, Account Management, Product, and Partner Management to align on strategies and explore co-selling opportunities.

Atlassians can choose where they work—office, home, or a mix—giving them flexibility to support family and personal goals. Atlassian hires people in any country where the company has a legal entity. The Expert Product Selling role involves acting as a knowledge leader on Service Management trends to inform sales strategies and position Jira Service Management. Sales Strategy Development involves collaborating with sales teams to develop and execute strategies that drive revenue growth. Customer Engagement and Cross-functional Collaboration entail engaging with customers to understand their business needs and propose value-based solutions, while coordinating with Account Executives, Marketing, Account Management, Product, and Partner Management to align on strategies and explore co-selling opportunities.

Atlassian offers flexibility in where you work—office, home, or a hybrid arrangement—and hires people in any country where it has a legal entity. As a Senior Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions. The FDE team partners with top organizations across industries to help them leverage Atlassian’s AI capabilities and drive real-world impact and business outcomes. You’ll lead the design, development, and deployment of AI/ML-powered solutions using Rovo, build robust integrations with Python/JavaScript, influence product direction from customer feedback, and champion AI-augmented workflow automation, with end-to-end production responsibility and ongoing monitoring. You’ll also navigate AI risk and data privacy requirements, mentor senior engineers, and communicate complex concepts clearly to stakeholders, all while aligning technical progress with measurable business objectives in a fast-paced, high-visibility role.

At Atlassian, employees can work in an office, from home, or a mix, and the company hires in any country where it has a legal entity. The goal is to build a world-class, empowered engineering organization that is globally distributed and prepared for long-term success. In this role, you will lead a high-performing full-stack team across global locations, drive developer experience and platform capabilities (design system, theming, rapid prototyping tools, AI-powered accessibility remediation, and developer tooling), and scale Atlassian’s in-house localization platform. You will partner with design, product, and engineering to embed accessibility, internationalization, and quality standards into platform tools and automated guardrails, while ensuring governance and release hygiene. Candidates should have 5+ years of experience managing software engineering teams in platform or full-stack domains, strong full-stack and backend expertise, familiarity with design systems, localization, and AI-assisted developer workflows, and a proven ability to mentor and lead distributed teams across multiple time zones.

The Sales and Success Strategy team develops customer-centric GTM strategies that adapt to changing market dynamics, drive sustainable growth, and use data-driven insights to optimize the sales process and increase market share while delivering rich customer experiences. Atlassian is seeking a Principal Strategist to develop GTM strategy across initiatives, evaluating opportunities with qualitative and quantitative methods to drive P&L growth and deliver value at scale to customers, partners, and the Atlassian System of Work. The role is a highly capable individual contributor who partners with cross-functional executives to define long-term direction, thrives in a fast-paced environment, and benefits from a strong understanding of SaaS business models. Responsibilities include developing actionable GTM strategies from ideation to design, conducting internal and market due diligence, employing relevant frameworks, and creating scalable options to meet fiscal-year goals and longer-term targets while performing financial and market analysis. The position requires proactively identifying opportunities, testing and iterating new ideas, transitioning from high-level strategy to deep-dives, leading multi-layered stakeholder management, influencing across all levels, and building trust to marshal the resources needed to achieve goals.

Atlassian offers flexible work options—office, home, or a hybrid setup—and hires in any country where it has a legal entity to support employees' personal goals. They are seeking a Principal Fullstack Software Engineer to join the team, with a note that the position is being staffed in Vancouver, Canada. The role involves understanding user journeys and funnels, collaborating with product, design, and engineering to influence strategy, and guiding the technical direction for large-scale features. Responsibilities include evaluating trade-offs for correctness, robustness, performance, and customer impact; debugging inefficiencies; shipping well-tested, secure, reliable, and maintainable code; and contributing to code reviews, documentation, and complex bug fixes with security and performance in mind, along with mentoring teammates. It also emphasizes improving the growth engineering team by identifying blockers and promoting best practices in design principles, unit testing, performance engineering, and security/privacy.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country with a legal entity, giving employees more control over family, personal goals, and priorities. As a Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and collaborating with top organizations to solve real-world problems. You’ll work with product, engineering, and design to grow technical and domain expertise and make a tangible impact on business outcomes in a high-visibility, fast-paced environment. Your responsibilities include leading design, development, and deployment of AI/ML-powered solutions, architecting integrations with Python or JavaScript, and driving data-driven insights and AI-augmented workflow automation. You’ll oversee end-to-end production deployments, navigate AI risk and compliance (including GDPR), mentor junior engineers, and align technical solutions with business objectives to achieve measurable results.

DX is a fast-growing SaaS company headquartered in Salt Lake City that helps engineering leaders build high-performing, productive teams and collects millions of data points daily to power insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, and Xero. The business has scaled profitably, tripling annual recurring revenue in recent years, and recently closed an acquisition by Atlassian to expand resources, accelerate growth and R&D, and deliver greater customer impact. DX emphasizes a culture centered on individual mastery and exceptional performance, acknowledging that outcomes depend on external factors but that doing one's job at the highest level is within control. The role involves coaching a team of Enterprise Account Executives to consistently hit targets, adopting a player-coach approach, formalizing sales processes, maintaining pipeline discipline and CRM hygiene, analyzing data to remove bottlenecks, driving GTM improvements, and recruiting and onboarding top talent. Ideal candidates are team-first, systems thinkers who lead by example, provide radical candor, thrive in ambiguity, balance data-informed decisions with human empathy, and possess high emotional intelligence to navigate stakeholders.

DX is a fast-growing SaaS company headquartered in Salt Lake City that helps engineering leaders build high-performing, productive teams and uses millions of daily data points to deliver insights on developer productivity for clients like Pinterest and GitHub. The company has scaled profitably, tripling its annual recurring revenue in recent years, and was recently acquired by Atlassian to expand resources, accelerate growth and R&D, and increase impact for customers. DX emphasizes individual mastery and being the best at your craft, with top performers being highly rewarded and outcomes largely driven by personal performance rather than external factors. The role involves coaching and developing a team of Enterprise Account Executives, applying a "player-coach" approach, leading film reviews, role-plays, and value-centric training, and institutionalizing sales processes, pipeline discipline, forecasting, CRM hygiene, and GTM improvements informed by frontline feedback. The ideal leader is team-first, a systems thinker who leads by example, provides radical candor, thrives in ambiguity, balances data-informed decisions with the human element, and possesses high emotional intelligence to navigate stakeholders and team dynamics.

At Atlassian, work arrangements are flexible, allowing office, remote, or hybrid setups, and the company hires in any country where it has a legal entity to support personal priorities. The role is for a Sales Leader who will oversee a team of Teamwork Collection Specialists, focusing on enterprise-level customers and driving the Teamwork Collection value proposition that includes Loom, Rovo, Jira, and Confluence. The position requires collaborating with Core account teams, Channel Partners, other Product Specialists, Account Managers, and Solution Engineers to refine sales processes, drive value propositions, and elevate customer satisfaction. Key duties include recruiting and developing top sales talent, setting performance goals, mentoring and onboarding new hires, analyzing sales data and market trends, staying informed about industry dynamics, and providing regular updates to senior management. The ideal candidate has a working knowledge of organizational teamwork workflows, with emphasis on Software Delivery and the emerging role of AI in the Enterprise and Strategic segments.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity to support employees' family, personal goals, and other priorities. As a Senior Principal Forward Deployed Engineer, you'll be at the forefront of applied AI, working directly with customers and cross‑functional teams to deliver innovative, AI-powered solutions and help shape the future of AI‑assisted teamwork. The FDE team partners with top organizations across industries to leverage Atlassian’s AI capabilities, collaborating with product, engineering, and design to expand your technical and domain expertise while driving tangible business outcomes. This is a high‑visibility, high‑impact role in fast‑paced, ambiguous environments, with responsibilities including coding across the Atlassian product suite, leading the design, development, and deployment of AI/ML solutions using Rovo tailored to customer needs, building robust integrations, and guiding product direction with customers to promote AI‑augmented workflow automation. You’ll also oversee end‑to‑end production deployment, manage risk and compliance (AI risk assessment, GDPR, regulatory frameworks), mentor other engineers, and communicate complex concepts clearly to technical and non‑technical stakeholders while aligning technical work with business objectives and measurable progress.

Atlassian offers flexible work locations—office, home, or hybrid—and hires globally where it has a legal entity. The role is for a senior full-stack engineer on the DX team, comfortable with Ruby on Rails, SQL, React, and TailwindCSS. You’ll own end-to-end features in a scalable, cross-geo environment, building robust REST APIs and contributing to customer-facing UI. Responsibilities include code reviews, collaboration with product and design, ensuring visibility and monitoring of backend services, participating in Agile processes, writing performant SQL for complex data workflows, and owning projects from architecture to rollout. You’ll maintain a high bar for quality and contribute to engineering practices, tooling, and standards around data correctness, reporting, and reliability.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity to support employees' personal priorities. They are seeking a Principal Fullstack Software Engineer to join the team, with a focus on delivering creative improvements for engineering teams, and the role is targeted for Vancouver, Canada. In this role, you will understand the user journey and funnel, and collaborate with product, design, and engineering to influence product strategy and direction. You will guide the technical direction for large-scale features, evaluate trade-offs, debug inefficiencies, and ship well-tested, secure, reliable, and maintainable code while contributing to reviews, documentation, and complex bug fixes with security and performance in mind. You will mentor teammates, improve the growth engineering team, and identify blockers to software engineering excellence through design principles, unit testing, performance engineering, and security/privacy best practices.

The role is remote anywhere in the UK, with Atlassian allowing work from an office, from home, or a hybrid arrangement. Atlassian hires people in any country where it has a legal entity. As a Principal Forward Deployed Engineer (FDE), you'll be at the forefront of applied AI, partnering with customers and cross-functional teams to deliver AI-powered solutions and influence business outcomes. You will lead the design, development, and deployment of AI/ML solutions, architect integrations using Python or JavaScript, drive data-driven product direction, oversee end-to-end deployment, and navigate risk and compliance including AI risk assessment and GDPR. The role also includes mentoring junior engineers and communicating complex technical concepts to both technical and non-technical stakeholders to align technical work with business objectives and measurable results.

The role is a remote Principal Forward Deployed Engineer (FDE) position at Atlassian based anywhere in Poland, with Atlassian allowing flexible work locations and hiring in any country where it has a legal entity. As a Principal FDE, you’ll be at the forefront of applied AI, working directly with customers and cross-functional teams to deliver AI-powered solutions, collaborating with product, engineering, and design. This is a high-visibility, high-impact role in a fast-paced, ambiguous environment aimed at shaping the future of AI-powered teamwork. You will lead the design, development, and deployment of AI/ML solutions, architect integrations using Python or JavaScript, drive data-driven insights, promote AI-augmented workflow automation, and oversee end-to-end production deployment. You’ll also navigate AI risk and data privacy requirements (GDPR), mentor junior engineers, and communicate complex concepts to technical and non-technical stakeholders while aligning technical work with business goals.

Atlassian lets employees choose where to work—office, home, or a mix—and the company hires in any country where it has a legal entity, giving global flexibility and support for personal goals. As a Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions and partnering with leading organizations to solve real-world problems. Your responsibilities include leading the design, development, and deployment of AI/ML-powered solutions, and architecting robust integrations using Python, JavaScript, APIs, microservices, and enterprise-scale systems. You’ll drive data-informed solution development, champion AI-augmented workflow automation, oversee production deployment with ongoing evaluation, and navigate AI risk assessment and data privacy/regulatory requirements. You’ll mentor junior engineers, communicate complex concepts to technical and non-technical stakeholders, and align technical outcomes with business objectives for measurable progress.

The role is remote with eligibility for candidates in the UK and Germany, while DX is headquartered in Salt Lake City and described as a fast-growing SaaS company that helps engineering leaders build high-performing teams. DX collects millions of data points daily to provide insights into developer productivity and experience for customers like Pinterest, GitHub, BNY, and Xero. DX has scaled profitably, tripling its annual recurring revenue in recent years, and recently closed on an acquisition by Atlassian. As part of Atlassian, the company will expand resources, accelerate growth and R&D, and deliver greater impact to customers. The role emphasizes individual mastery and high performance, with responsibilities including owning the full sales cycle from prospecting to close, running proofs of concepts and demos, building a disciplined pipeline, guiding buyers through complex evaluations, feeding market feedback into product and GTM improvements, staying current on industry trends, and supporting expansion in the EMEA market.

Atlassian offers flexible work locations and hires in any country where they have a legal entity, with distributed-work details available online. The Grad++ program provides hands-on technical training, mentorship, and social connections to help students start a successful career, and the role is a hybrid position based in Seattle, WA that excludes F1/J1 students and sponsorship. Data Scientists at Atlassian partner with product, engineering, and business teams across Product Development, Growth, Marketing, and Operations to turn large-scale platform data into actionable decisions and to influence roadmaps. They design and analyze robust experiments, build statistical frameworks, and develop machine learning models to solve business challenges and drive product innovation, defining core success metrics and uncovering user behavior trends. The role involves developing data-driven hypotheses, applying rigorous statistics to evaluate experiments and user behavior, analyzing rich telemetry data to identify user journey patterns and growth opportunities, and communicating results to broad audiences while collaborating cross-functionally with product managers, engineers, designers, data engineers, and other data scientists.

At Atlassian, employees can work from home, in global offices, or a mix, and the company hires in any country where it has a legal entity. The Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to set interns up for a successful career. The internship is a 12-week hybrid role located in Seattle, WA, running May/June through August/September 2027, and it is not eligible for F1/J1 sponsorship or any work sponsorship. As a Data Engineering intern, you’ll influence product teams, support data science and analytics platform groups, and partner with data consumers to ensure data assets are high-quality and useful, while helping define metrics, collect data, and generate insights. Responsibilities include data definition and instrumentation, ingestion, architecture and modeling, transformation, data quality and governance, and alerting, visualization, and reporting, all under the guidance of a Data Engineering Manager and a team mentor, with opportunities to scale and improve efficiency.