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Atlassian offers flexible work locations (office, remote, or hybrid) and hires in any country where they have a legal entity. They are hiring a Data Platform Engineer to report to the Engineering Manager for the Internal Data Platform team, ideal for someone with experience building data platforms at scale and solving complex analytical problems. The role focuses on designing and developing high-quality software services for Atlassian's data platform, emphasizing reliability, scalability, and performance, and involves collaborating with a diverse team of engineers. Responsibilities include delivering big data and software solutions, cross-functional collaboration to design and ship features, maintaining code quality through peer reviews and standards, and driving operational excellence with a data-driven approach. Requirements include 5+ years in data/software engineering with big data experience, a CS degree, proficiency in Kotlin/Scala/Java/Python, AWS or GCP experience, end-to-end service development, cloud-pattern knowledge, and familiarity with big data frameworks such as Spark, Flink, StarRocks, Databricks, DBT, and Airflow.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where it has a legal entity, with Jira at the center of its System of Work enriched by the Teamwork Graph and AI-driven tooling. The Jira Design team is seeking a Lead Product Designer to drive Jira design across the Teamwork Collection, reporting to a Senior Design Manager, with teams in Australia and North America. The role includes conceptualizing and delivering industry-leading experiences, mentoring the design team, leading strategic initiatives, setting a cohesive vision, and owning end-to-end product experiences rather than isolated features. Day-to-day work focuses on designing AI-integrated Jira workflows, creating cohesive design language across Jira, Rovo, and agent tooling, partnering with leadership to define a unified vision and success metrics, and guiding projects from concept to delivery. Requirements include 7+ years in enterprise product design, strong craft and prototyping, experience with AI-native processes, end-to-end UX, storytelling, user research, cross-functional collaboration, and stakeholder management.

Atlassian seeks a proactive, high-performing Mandarin-speaking Enterprise Account Manager to manage retention and growth for its largest, most complex enterprise customers in the Greater China Region. The role owns the full customer lifecycle for a defined book of business, aiming for high retention while proactively identifying, navigating, and closing expansion, upgrade, and cross-sell opportunities, in partnership with the broader Regional Sales team to drive total book of business growth. The candidate should embody “Heart and Balance”—building deep, empathetic customer relationships while maintaining sales rigor—be a self-starter who owns their territory, navigates complex, multi-threaded deals, and delivers an exceptional customer experience, with fluency in English and Mandarin (Cantonese highly regarded). Responsibilities include revenue accountability, strategic account planning with cross-functional teams (Enterprise Sales, Services, Channel Partners, Customer Success), executing complex procurement and security workflows, and refining the Atlassian go-to-market model while maintaining pristine data hygiene and using insights to predict book health. The role requires translating global strategy into localized execution for Chinese-speaking clients, bridging regional nuances, and offering flexible work arrangements and eligibility to hire across countries where Atlassian has a legal entity.

Atlassian offers flexible work locations, allowing office, remote, or hybrid arrangements so employees can balance family and personal goals. The company hires in any country with a legal entity, and with sufficient timezone overlap, can hire eligible candidates from anywhere in Australia and New Zealand. They are seeking a Principal Backend Software Engineer to join a team focused on delivering creative improvements for engineering teams. The future team aims to build a world-class engineering organization, prioritizing AI and the cloud transition, and delivering value across Jira, Confluence, Trello, and Bitbucket. Responsibilities include tackling large-scale problems from design to launch, addressing complex architecture challenges, leading code reviews and documentation, setting standards, collaborating on company-wide initiatives, and mentoring junior engineers.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally where it has legal entities, with sufficient timezone overlap enabling hires from Australia and New Zealand. - They’re recruiting engineers to join Sydney teams (e.g., Jira Server, Jira Cloud, Growth) and are looking for Senior Software Engineers who are capable, take responsibility, and mentor others. - Atlassian values learning and using the right tools; while Java dominates their stack, they also work with Kotlin, Go, Python, and Ruby, and interview candidates using their strongest language. - In the interview process, candidates are encouraged to code in the language they feel best demonstrates their abilities. - The role entails driving large, autonomous projects from design to launch, solving architecture challenges, leading reviews and documentation, fixing high-risk bugs, collaborating across teams, transferring knowledge from other languages to Java, and mentoring junior members.

Atlassian supports flexible work arrangements, allowing office, remote, or hybrid work, and hires in any country with a legal entity; this role is fully remote but must be located in Australia or New Zealand. The Growth Organization helps users discover, try, adopt, and derive value from Jira, Confluence, Loom, and the Teamwork Collection through a mix of product thinking, platforms, and data analysis to drive experimentation and long-term customer value. As a Senior Principal Engineer in Growth, you will shape the platforms that support new and upgraded customer flows, define technical strategy, and drive Atlassian's AI transformation to make our products an agent-native system of record. The Growth Monetization team optimizes services and experiences across Atlassian core products, contributing to revenue by designing and testing customer interactions from first contact to purchase, while you own the technical evolution, roadmaps, operational excellence, and mentorship across teams. Basic qualifications include a Bachelor's or Master's in CS (or equivalent) with 12+ years of experience building large-scale distributed systems and at least 4 years in architectural oversight; preferred qualifications include department-level technical leadership, major architectural initiatives, experience with SaaS/PaaS/IaaS and public clouds (AWS or GCP), fluency in modern OO languages, mentoring, and the ability to operate in ambiguous environments.

Atlassian offers flexible work options—office, remote, or hybrid—and hires globally wherever there is a legal entity. As a Principal-level (P70) designer, you have cross-domain, cross-functional ownership and influence over senior management, shaping design direction, North Star experiences for agent creation and lifecycle, Studio strategy, and cohesive narratives that align teams to roadmaps. You will design systems that unify agents, apps, and automations into a coherent experience, propose scalable architectural improvements, lead end-to-end design on high-leverage, ambiguous problems, maintain exceptional craft, and influence long-term architecture with PM and Engineering, while bringing an informed point of view on AI-native patterns, developer experience, and marketplace mechanics. You drive research, data, and prototyping at the portfolio level, plan formative and summative research, synthesize insights into clear directions, champion rapid prototyping and iterative testing, and multiply the team by coaching mid- and senior-level designers and participating in hiring. You champion inclusive, accessible design, embed accessibility practices across systems and reviews, adopt AI-native ways of working within the Ecosystem & Marketplace design team, build consensus among senior stakeholders, rally cross-functional teams around a shared vision, and represent Design in the rooms where the biggest ecosystem decisions are made.

The Enterprise Security Engineer at Atlassian is a hands-on role responsible for implementing, operating, and improving security controls across identity, endpoints, cloud, SaaS, data, and workforce technologies, turning security strategy into practical, secure-by-default controls that don’t slow the business. They partner with Enterprise IT, Corporate Engineering, SRE/Platform teams, Legal, Privacy, Product Security, and other stakeholders, participate in Atlassian’s Customer Zero initiative, and are based in Australia/New Zealand. Key duties include designing and maintaining security controls across identity, access, cloud (AWS/GCP), SaaS, and data-protection domains; remediating gaps; enabling secure baselines; conducting security reviews for new tools and workflows; and supporting cyber-related physical security integrations. The role also covers identity lifecycle, privileged access, authentication/authorization, insider risk monitoring, cloud and endpoint protection, DLP and data classification, automation, IaC/CI-CD security checks, on-call rotations and post-incident reviews, and SaaS supply chain/vendor risk assessments. Success is measured by timely delivery of tasks and deployments, reduction of security escalations, development of reliable automation, closure of posture gaps, and effective cross-functional collaboration and continuous learning.

The Enterprise Security Engineer is a hands-on role that implements, operates, and improves security controls across identity, endpoints, cloud, data, and workforce technologies, turning enterprise strategy into practical, secure-by-default solutions. They partner with Enterprise IT, Corporate Engineering, SRE and Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders, and participate in Atlassian’s Customer Zero initiative to validate capabilities internally before broader adoption; the role is based in Australia/New Zealand. Core responsibilities include designing, implementing, operating, and maintaining controls across identity, access, cloud (AWS/GCP), SaaS, and data-protection domains, remediating gaps in access controls, device posture, SaaS configurations, and sensitive data protections, and assisting with secure baseline configurations and reviews for new tools and workflows. The role also supports cyber-physical security operations, including integrations between physical access-control systems and identity platforms, monitoring access lifecycles, and addressing facility-related cyber risks, while strengthening identity lifecycle management, privileged access, authentication, authorization, and access reviews. Success is measured by timely execution of technical tasks and deployments, reduced security backlog and toil, effective automation and tooling, closed posture gaps, and strong cross-functional collaboration and learning.

The Enterprise Security Engineer is a hands-on role based in Atlassian’s Australia/New Zealand entities who implements, operates, and improves security controls across identity, endpoints, cloud, SaaS, data, and workforce technologies, translating enterprise security strategy into secure-by-default, measurable controls that reduce risk without slowing the business, including validating capabilities internally as part of the Customer Zero initiative. The engineer partners with Enterprise IT, Corporate Engineering, SRE and Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders to deliver scalable security improvements across Atlassian’s corporate environment and to roll out secure baselines and paved-path configurations across internal teams. Core duties include strengthening identity lifecycle management, privileged access, authentication and authorization, monitoring insider risk, validating agentic identity and AI-native governance, and supporting secure service accounts and automated bot credentials, with broader efforts to ensure secure adoption across internal services. Cloud, SaaS, and endpoint protection involve implementing guardrails and posture baselines for AWS/GCP and SaaS like Google Workspace, Slack, Okta; maintaining endpoint security agents and device/compliance baselines; and supporting DLP and data-classification controls, as well as security reviews for new tools and integrations. The role also covers SaaS supply chain and third-party risk evaluations, incident response and on-call duties, automation and operational excellence through scripting and IaC/CI-CD security checks, and is measured by delivery of tasks, reduced manual toil, improved security hygiene, and effective collaboration across teams.

The Enterprise Security Engineer is a hands-on role that implements, operates, and improves security controls across corporate architecture, SaaS, cloud, endpoints, identity, data, and workforce technologies, translating strategy into practical, secure-by-default controls that reduce risk without slowing the business. They partner with Enterprise IT, Corporate Engineering, SRE, Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders to deliver scalable security improvements across Atlassian’s corporate environment, and as part of Atlassian’s Customer Zero initiative validate and refine capabilities internally before broader adoption, based in Australia/New Zealand. The role covers designing, implementing, operating, and maintaining security controls across identity, access, cloud (AWS/GCP), SaaS, endpoints, and data-protection domains, remediating gaps in access controls, device posture, SaaS configurations, and SaaS supply chain/third-party risk evaluations, and assisting with secure baselines and paved-path implementations. It includes security reviews for new tools, internal workflows, and SaaS integrations; monitoring insider risk signals and anomalous access patterns; enforcing service accounts and automated bot credentials; implementing guardrails, DLP, and data-classification controls; maintaining physical security integrations with identity platforms and monitoring facility-related cyber risks; and participating in on-call rotations and post-incident reviews. Success is measured by execution and delivery of scoped tasks and automation milestones on time; triage of security escalations and backlog reduction; development of reliable scripts and tooling; remediation of posture gaps; and collaboration to expand technical depth across enterprise security domains.

The Enterprise Security Engineer is a hands-on role responsible for implementing, operating, and improving security controls across corporate architecture, cloud services, endpoints, identity, data, and workforce technologies, translating strategy into practical, secure-by-default measures. They collaborate with Enterprise IT, Corporate Engineering, SRE and Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders, and participate in Atlassian’s Customer Zero initiative to validate capabilities internally before broader adoption, based in Australia/New Zealand. The role designs, implements, operates, and maintains security controls across identity, endpoints, network, cloud (AWS/GCP), SaaS, and data protection, remediating gaps and rolling out secure baseline configurations and paved-path implementations. It includes strengthening identity and access governance, monitoring insider risk, securing service accounts and bot credentials, and implementing guardrails, DLP, and data-classification across cloud, SaaS, and endpoint environments, while contributing to security reviews for new tools. You’ll also build automation and infrastructure-as-code security checks, participate in on-call rotations and post-incident reviews, and assess SaaS supply chain and third-party risk, with success measured by timely delivery, reduced toil, improved security hygiene, and effective cross-functional collaboration.

The Enterprise Security Engineer is a hands-on role (based in Australia/New Zealand) responsible for designing, implementing, operating, and improving security controls across identity, endpoints, cloud, SaaS, data, and related workforce technologies, translating strategy into secure-by-default solutions and partnering with IT, engineering, security, Legal/Privacy, and business stakeholders. It includes participating in Atlassian’s Customer Zero initiative to validate and enhance security capabilities internally before broader adoption. Core duties encompass building and maintaining controls, remediating gaps in access, device posture, SaaS configurations, and data protections; rolling out secure baselines; conducting security reviews for new tools and SaaS integrations under senior guidance; and supporting cyber-related physical security operations. The role emphasizes Identity, Access & Human Risk management, cloud, SaaS, and endpoint protection, including identity lifecycle management, privileged access, authentication/authorization, access reviews, insider risk monitoring, and secure service accounts and bot credentials. Success is measured by timely delivery of tasks and automation milestones, efficient triage of security escalations, reduction of manual toil, remediation of posture gaps across SaaS/endpoints/IAM, and effective collaboration with cross-functional teams.

Atlassians can work in an office, from home, or a hybrid arrangement, giving them flexibility to support family, personal goals, and other priorities, and the company can hire in any country where it has a legal entity. The role is Senior Customer Success Architect (AI) in the Sales and Success department, focused on adopting Atlassian's AI platform, Rovo, by leading time-boxed, co-built engagements that move from “Rovo on” to real, measurable business value and by owning a repeatable, scalable engagement methodology. You’ll partner with enterprise teams on complex activations, build playbooks, run internal enablement, and maintain relationships with Rovo Product and Engineering, bridging deep AI and Atlassian platform expertise with customer success leadership. The Senior CSA (AI) reports to a regional leader and leads through domain expertise, playbook ownership, and internal enablement rather than direct reports, acting as a technical expert who guides value realization and adoption while collaborating with Pre-Sales, Post-Sales, and Product teams. You’ll help top promoters showcase their successes, expand the reach of AI and the Atlassian System of Work into new use cases and markets, and aim to maximize enterprise customers’ outcomes from their Atlassian investment.

Atlassian’s mission is to unleash the potential of every team, with well-known products like Jira, Confluence, and Bitbucket that power collaboration across diverse teams and industries, as illustrated by examples like NASA’s Mars Rover and Cochlear. The role sits in the Central AI Org, specifically the AI & ML Platform team, which is dedicated to driving AI innovation across Atlassian products and building a robust AI infrastructure for the future. The Central AI Org aims to develop horizontal AI capabilities, establish a centralized Search, Q&A, and Conversational AI system, and explore integrating Atlassian products with AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team’s goal is to democratize AI and ML for Atlassian’s teams, customers, and ecosystem by delivering productive, reliable tools that integrate with the Atlassian Data Platform and adhere to security and data usage policies. As a Senior Machine Learning System Engineer, you will develop and refine core infrastructure to enable engineers and data scientists to create, train, evaluate, deploy, and manage ML models, collaborate with Jira and Confluence teams, curate high-quality datasets, fine-tune LLMs (open-source or proprietary), lead projects from design to launch, deliver scalable AI features, perform code reviews and documentation, and mentor junior team members.

Atlassian's mission is to unleash the potential of every team, with collaboration products like Jira, Confluence, and Bitbucket that power teamwork and help teams succeed worldwide. The role is in the Central AI Org, specifically the AI & ML Platform team, which drives AI innovation across Atlassian products and aims to deliver seamless AI experiences and a robust AI infrastructure, including a centralized search, Q&A, and conversational AI system. The AI & ML Platform Team seeks to democratize AI and ML by building horizontal capabilities and integrating with the Atlassian Data Platform so teams can develop, deploy, measure, and operate AI/ML experiences securely. As a Senior Machine Learning System Engineer, you'll develop core infrastructure enabling engineers and data scientists to build, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence and tackling datasets and LLM fine-tuning. You will lead projects from design to launch and deliver solutions used across Atlassian, perform code reviews and documentation, collaborate on company-wide initiatives, and mentor junior team members.

Atlassian's mission is to unleash the potential of every team, with widely used products like Jira, Confluence, and Bitbucket that enable collaboration across diverse teams and even power real-world breakthroughs such as NASA's Mars Rover and Cochlear's hearing solutions. The company’s Central AI Org focuses on driving AI innovation, delivering seamless AI experiences, and building a robust Atlassian AI infrastructure, including horizontal AI capabilities and a centralized Search, Q&A, and Conversational AI system that can integrate with all Atlassian products. The AI & ML Platform Team aims to democratize AI/ML by creating productive, reliable tools for development, deployment, measurement, and operation of AI/ML experiences, designed to integrate with the Atlassian Data Platform while adhering to security and data usage policies. As a Senior Machine Learning System Engineer, you will help develop and refine core infrastructure enabling engineers, ML engineers, and data scientists to build, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence and working with datasets and LLMs. You will lead projects from technical design to launch, deliver solutions used by millions, perform code reviews and documentation, partner across teams on company-wide initiatives, mentor junior teammates, and enjoy flexible work location options across countries where Atlassian has a legal entity.

The Principal Incident Responser at Atlassian (Australia) leads planning and execution of incident response from initial triage to remediation, including developing tools, systems, and playbooks and managing information security incidents to advance the company’s security posture. The ideal candidate brings broad experience across security domains, strong problem-solving abilities, and excellent communication, within a culture that values teamwork, innovation, and dedication in Security Detection and Response. Responsibilities include leading the region’s security incident response, providing technical leadership during critical (Severity 0/1) incidents, coordinating investigations, and managing communications to executives and stakeholders such as Legal, Privacy, and Communications, while serving as the primary liaison with external bodies like law enforcement, CERTs, and ISACs. The role also involves coaching and mentoring, delivering projects to enhance incident response capabilities, conducting training exercises and post-incident reviews, and collaborating with other security teams to develop long-term prevention strategies and threat intelligence. It requires staying current with security trends, threats, and technologies to ensure readiness for emerging risks.

1) Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. 2) Atlassian is seeking a Senior Machine Learning Engineer to join the AI Context team within the broader Rovo + AI organization to build agentic LLM harnesses powering high-visibility AI features and contextually aware experiences for users and agents. 3) The AI Context team spans Sydney, Melbourne, Brisbane, and the US West Coast, consisting of software engineers and MLEs who partner across Rovo + AI and product teams to deliver insights, modeling, and personalization that provide relevant context. 4) Responsibilities include designing, building, shipping, and operating agentic LLM harness solutions; improving quality and reducing cost of production LLM systems; building evaluation capabilities; contributing to fine-tuning and model serving; setting long-term technical direction; navigating complex systems; leading small virtual squads; and coaching junior engineers. 5) The role emphasizes ownership, autonomy, asynchronous collaboration, and the opportunity to influence technical direction across stakeholder teams.

Atlassian offers flexible work options—office, remote, or hybrid—and hires globally wherever they have a legal entity to support employees' family and personal priorities. They are seeking a Senior Machine Learning Engineer to join the AI Context team within the broader Rovo + AI organization to build agentic LLM harnesses powering high-visibility Rovo AI features and context-aware experiences for users and AI agents. The AI Context team operates across Sydney, Melbourne, Brisbane, and the US West Coast, bringing together software engineers and ML engineers who work with Rovo + AI and product teams to deliver insights, modeling, and personalization. Responsibilities include designing, building, shipping, and operating agentic LLM harness solutions, improving production LLM quality and cost, developing evaluation capabilities, and contributing to fine-tuning and model serving while shaping long-term technical direction. The role involves navigating complex systems, proposing durable architectures, influencing technical direction across stakeholders, leading small virtual squads, coaching junior engineers, and acting as a thought partner to Engineering Managers and Heads of Engineering to help achieve key results.

Atlassian offers flexible work options—office, home, or hybrid—and hires in any country where they have a legal entity. They’re hiring a Senior Machine Learning Engineer to join the AI Context team within the Rovo + AI organization to build agentic LLM harnesses that power high-visibility Rovo AI features and contextually aware experiences. The AI Context team spans Sydney, Melbourne, Brisbane, and the US West Coast, comprising software engineers and ML engineers who collaborate with Rovo + AI and product teams to deliver insights, modeling, and personalization that provide relevant context to users and AI agents. Responsibilities include designing, building, shipping, and operating agentic LLM harness solutions, improving production LLM quality and costs, building evaluation capabilities, contributing to fine-tuning and model serving, and setting long-term technical direction. The role also involves navigating complex systems, leading small virtual squads, coaching junior engineers, acting as a thought partner to Engineering Managers, influencing technical direction across stakeholders, and fostering ownership and asynchronous collaboration.