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Atlassian supports flexible work locations and hires globally where it has a legal entity. The role is Senior Engineering Manager to lead Atlassian’s foundational data platform, guiding team direction, architecture, and operational excellence for data powering analytics across Jira, JSM, Confluence, and products like Atlassian Analytics, the Teamwork Graph, and AI capabilities like Rovo. This high-leverage, cross-organizational position means your decisions will shape how hundreds of thousands of organizations explore, understand, and act on their data, requiring collaboration to achieve extraordinary results. Responsibilities include leading a high-performing team building and operating the data platform (streaming ingestion on Flink and/or MPP on StarRocks), owning the technical roadmap, and driving reliability, SLOs, on-call, performance, cost, and data quality/observability. You will hire, coach, and develop engineers, set engineering standards (code reviews, architecture, documentation), and manage delivery across a full-lifecycle platform with stakeholders across multiple projects.

- Atlassian offers flexible work options—office, remote, or a hybrid model—to help employees balance family, personal goals, and other priorities. - The company hires in any country where it has a legal entity, enabling global staffing. - The role involves owning the roadmap and execution for cross-cloud platform and data tooling, balancing new capabilities with platform evolution. - It includes leading, coaching, and growing a team of engineers, focusing on performance, career development, and a strong on-call and incident culture where correctness is non-negotiable. - The position requires partnering with product management and customer-facing teams, driving the technical direction for next-generation data platforms, and collaborating with partner product and infrastructure teams for strategic delivery.

Atlassian offers flexible work options, and this remote Senior Machine Learning Engineer role is located in India, joining the Responsible AI & AI Safety team to build centralized safety, content moderation, and guardrail platforms powering Atlassian Intelligence and Rovo. The role sits at the intersection of software engineering and data science, responsible for designing, training, evaluating, and deploying ML/LLM-based guardrails and moderation models (text, multimodal, and code) across Atlassian products. You’ll build robust offline and online evaluation frameworks, adversarial testing, and LLM-as-a-judge pipelines to measure precision, recall, false positives, and model robustness, while delivering real-time, low-latency safety filtering integrated with the AI Gateway. The role involves defending against emerging threats like adversarial prompts, jailbreaks, data leakage, hallucinations, and unauthorized tool-calling, and ensuring governance and regulatory compliance with audit logging and watermarking. Collaboration with teams across the USA, Australia, New Zealand, and India, along with mentoring engineers, supports Atlassian’s broader push to improve security, trust & safety, and global scale.

Atlassian offers flexible work locations, including office, home, or hybrid, to help employees support family and personal goals. They hire in any country where they have a legal entity. In Jira Service Management, the ITSM Analytics group builds the analytics platform that turns JSM data (requests, incidents, SLAs, assets, Ops/Opsgenie) into actionable insights for IT and service teams, a key competitive differentiator. The team owns the full analytics surface—Custom Metrics, JSM Insights, Operations Reports, Assets Reporting, and the JSM Summary Page—across frontend dashboards, GraphQL APIs, data pipelines, and reporting infrastructure, with high ownership and delivery through EAP to GA, emphasizing performance, scale, and data quality/observability. The role is to lead a charter-defining team building the analytics engine at the heart of Atlassian's ITSM strategy, spanning greenfield to scale, with deep expertise in data platform, GraphQL APIs, and modern React frontends, growing a multi-pod team and setting technical direction to deliver GA outcomes for enterprise customers.

Atlassian offers flexible work options—office, home, or hybrid—and hires people in any country where they have a legal entity. 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. The FDE team partners with top organizations across industries to help them leverage Atlassian’s AI capabilities and drive tangible business outcomes. Responsibilities include designing, developing, and deploying AI/ML solutions, building robust integrations with Python/JavaScript, driving data-driven insights, enabling AI-augmented workflow automation, and overseeing end-to-end deployment with monitoring and improvement, while navigating risk and compliance such as GDPR. The role also involves mentoring junior engineers, communicating complex technical concepts to diverse stakeholders, and aligning technical effort with business objectives to achieve measurable results.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where Atlassian has a legal entity. They are looking for a Senior Engineer to design, build, and operate Atlassian's foundational data platform, guiding its architectural evolution and operational excellence. The platform powers data behind critical experiences across the company, from in-product analytics in Jira, JSM, and Confluence to solutions like Atlassian Analytics, the Teamwork Graph, and AI-native capabilities such as Rovo. You will design, build, and operate core data-platform components across streaming ingestion (Flink) and MPP query/serving (StarRocks), with high ownership from technical design to launch, while ensuring reliability, performance, cost efficiency, and data quality/observability in production. The role requires tackling complex architectural challenges, leading code reviews and documentation, mentoring junior engineers, and collaborating with multiple teams on initiatives spanning several projects.

The Audit Platform team delivers real-time, trustworthy visibility into every meaningful action across the Atlassian ecosystem, capturing billions of events to answer who/what/when/where/why with confidence. Their platform provides the intelligence backbone for AI and Non-Human Identity governance, Insider Risk Management, and real-time security investigations across Cloud products. Atlassian seeks a Principal Fullstack Engineer to build the platform that captures, stores, and surfaces audit events at massive scale, underpinning compliance, security investigations, and customer trust. The role requires deep expertise across frontend and backend, experience architecting and building large-scale distributed systems, and a focus on scale, performance, cost, maintainability, and extensibility, with ownership and mentorship. Responsibilities include defining architecture and roadmaps for hyper-growth, tackling the largest problems, proposing shared libraries, setting engineering standards, partnering across teams on company-wide initiatives, and growing the engineers you lead.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, enabling Atlassians to balance family, personal goals, and priorities. As a Senior Principal Forward Deployed Engineer (FDE), you'll be at the forefront of applied AI, working directly with customers and cross-functional teams to deliver AI-powered solutions and shape the future of AI-powered teamwork. This high-visibility, high-impact role involves collaborating with product, engineering, and design to rapidly grow technical and domain expertise while delivering tangible business outcomes. You’ll code across the Atlassian product suite, lead the design, development, and deployment of AI/ML-powered solutions using Rovo for customer needs, and architect integrations with Python, JavaScript, and APIs for enterprise-scale systems. You’ll influence product direction with customers, champion AI-augmented workflow automation, oversee end-to-end deployment with continuous evaluation and improvement, navigate risk and compliance including data privacy and regulatory frameworks, mentor other engineers, and communicate complex technical concepts clearly to stakeholders while aligning technical solutions with business objectives.

We are seeking a reliability expert to join our growing Site Reliability Engineering (SRE) teams and help scale Cloud services. The ideal candidate stays current with industry reliability trends, values working with diverse partners, can articulate the business impact of problems, and can dive deep into technical solutions. They should bring a deep understanding of modern Cloud infrastructure, programming expertise, operational experience, and a drive to change the status quo. The engineer will analyze and improve services and processes to reach higher levels of reliability, performance, scalability, and cost efficiency by crossing team and functional boundaries and advocating for reliability methodologies across platform, product, and SRE teams. Ultimately, they will be the driving force for change and will report to a regional Senior Engineering Manager in SRE.

At Atlassian, you can work remotely, from an office, or in a hybrid setup as part of a distributed-first “TEAM anywhere” approach, with global hiring and virtual interviews/onboarding. The Senior Software Engineer role focuses on designing, building, and optimizing high-performance, scalable, and fault-tolerant backend storage solutions on AWS to power mission-critical applications. Responsibilities include developing distributed storage systems, APIs, and backend services, collaborating with principal engineers, architects, SREs, and product teams to define roadmaps, improve storage efficiency, optimize access patterns, and drive performance tuning and cost optimization across AWS services like S3, DynamoDB, EBS, EFS, FSx, and Glacier. You will contribute to infrastructure automation, security best practices, and monitoring using Terraform, CloudWatch, Prometheus, and OpenTelemetry, and you’ll troubleshoot production incidents to ensure high availability and disaster recovery. The role also entails mentoring junior engineers, participating in design reviews, and advocating for CI/CD, infrastructure as code, and observability-driven development to scale storage infrastructure securely and reliably.

- Atlassian supports flexible work arrangements, allowing employees to work in an office, from home, or a mix, and hires globally where it has a legal entity, with virtual interviews and onboarding as part of being distributed-first. - The Product Security team is geographically distributed (USA, Australia, India) and provides security consulting, risk identification, and mitigation across all products, recognizing product security as both a customer necessity and a competitive edge, while maturing security within Atlassian’s engineering-focused, autonomous teams at scale. - The Principal Security Engineer, Cloud Security is the technical architect driving architecture and vision across cloud platforms, infrastructure, and the software supply chain, defining secure-by-default standards and guardrails, leading cross-organizational initiatives, and mentoring senior engineers to ensure security, reliability, and trust for 300,000+ customers. - The Principal Product Security Engineer, Cloud Security defines the multi-cloud security architecture (AWS, GCP, Azure), leads advanced threat modeling, automates security controls and guardrails in CI/CD and IaC, directs CSPM strategy, and serves as the cloud security authority during high-severity incidents while influencing executives. - Candidates should have 10+ years of security engineering experience with deep cloud security, multi-cloud (AWS/GCP/Azure) and container orchestration, experience with highly regulated environments (Isolated, Private, FedRAMP), strong programming in Python/Go/Java/JavaScript, and a proven ability to automate security, implement policy-as-code, and mentor across teams.

Atlassians can work anywhere (office, home, or a mix) and hiring is allowed in any country with a legal entity, giving flexibility to support personal goals. The Senior Engineering Manager will partner with design, product management, and architecture to shape product direction and plan steps to achieve it. They are responsible for building and empowering teams, coaching individuals' development, and challenging them to grow, while also contributing to engineering and operational practices with a continuous improvement mindset. The future team aims for a world-class, empowered engineering organization within a unified R&D effort, focused on cloud migration and delivering value across Jira, Confluence, Trello, and Bitbucket. Responsibilities include leading 2-3 scrum teams (12-20 people), mentoring several principal engineers, driving business and technical outcomes, and maintaining engineering and operational excellence in a complex, globally dependent, ambiguity-rich environment.

- Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid setup to support personal priorities. - They hire people in any country where there is a legal entity. - The role involves owning the technical evolution and long-term architecture and leading the largest architectural initiatives. - It includes defining and driving a 12–24 month roadmap for shared platform primitives, identifying gaps, and making clear trade-offs on priorities while raising standards for reliability, performance, observability, security, and operational excellence across systems handling critical enterprise data. - The position provides hands-on technical leadership through design reviews, deep investigations, incident reviews, and high-risk problem solving, while mentoring Principal and senior engineers.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country with a legal entity. The Data Platform Engineer will build and operate Atlassian’s foundational data platform for high-scale distributed data systems powering analytics across Jira, JSM, Confluence, Atlassian Analytics, TWG, and AI capabilities like Rovo. The role involves building and owning components across streaming ingestion (Flink) and MPP query/serving (StarRocks) alongside senior engineers, delivering high-quality code from design to deployment and taking ownership of features and bug fixes. You’ll participate in operating production-grade data platform systems, including on-call duties, debugging, and tuning for performance and data quality, as well as code reviews and clear documentation. Collaboration with teams and ongoing learning to deepen expertise in distributed data systems are emphasized to deliver reliable, performant data infrastructure.

Jira Platform Vision is to make Jira the trusted, agent-native system of record and control plane for human and agent teamwork at enterprise scale, driven by AI Transformation, Enterprise Readiness, and Efficiency. AI Transformation aims to make Jira the agent-native system of record for human+AI teamwork; Enterprise Readiness leverages Project Ascend to bring the world’s largest and most demanding enterprises into the Cloud; Efficiency focuses on sound unit economics, developer productivity, and world-class reliability. Jira Scalable Issue Search (JSIS) is a foundational investment moving structured searches from a database-backed engine to OpenSearch, handling about 3 billion requests per day with a multi-tenant, distributed architecture and a team of 50 engineers across India and Europe. The long-term opportunity extends beyond search to federated search across Jira portfolios and Atlassian products, and JSIS will underpin higher request volumes from agentic APIs, turning architectural migration into a strategic advantage. The team will own the technical evolution and long-term architecture, lead major platform initiatives, define a 12–24 month roadmap focusing on data movement, governance, resiliency, and data health, and provide hands-on technical leadership and mentorship while raising standards for reliability and operational excellence.

Atlassian's software helps teams plan, track, and collaborate, and their Audit Platform and Guard provide security and data-governance controls to maintain a secure, compliant posture at scale. By protecting sensitive data, upholding governance standards, and managing risk, Guard enables leaders to safely accelerate AI adoption and new ways of working. They are looking for a Mobile Engineer to bring security and audit experiences to mobile by building native iOS apps for monitoring activity, investigating issues, and staying in control remotely. Responsibilities include designing, developing, and shipping iOS features in Swift; translating UX/UI designs into accessible interfaces; optimizing performance; ensuring reliability through crash monitoring and robust error handling; collaborating with backend, platform, and web teams to maintain feature parity; and handling sensitive data with built-in security and privacy. The role also emphasizes high test coverage (unit, integration, and UI tests), code reviews, and potential contributions to Atlassian's frontend web stack when needed.

Atlassian's Audit Platform and Guard provide the security and data-governance layer that helps admins maintain a secure, compliant posture at scale. Guard 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 are looking for 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. Responsibilities include building end-to-end features from design through testing, rollout, and production support; partnering with backend, platform, and product teams for cohesive experiences; and handling sensitive data with security and privacy built in from the start. Additional focus areas include improving app performance and reliability, enhancing the mobile developer experience, and occasionally contributing to Atlassian's frontend web stack when needed.

- Atlassian offers flexible work options, but this role requires being located in India to coordinate with teams in India, Australia, and the United States. - The Senior Engineering Manager will lead the TDP Insights and ADR engineering teams, responsible for people, strategy, execution, and operational outcomes, collaborating with storage, streaming, infrastructure, security, and product teams. - TDP provides secure, scalable data capabilities with data residency, encryption, compliance, backup/recovery, and multi-cloud operation; TDP Insights turns telemetry into actionable insights about data location, movement, cost, reliability, and usage; ADR offers common backup/restore capabilities and recovery validation. - Responsibilities include building an inclusive, high-performing distributed team across India and Australia, translating enterprise and customer requirements into a roadmap, surfacing risks early, and establishing clear ownership across TDP Insights, ADR, and partner teams. - The role encompasses cross-functional leadership with product, security, compliance, reliability, infrastructure, and FinOps, managing cost posture and investment trade-offs to prioritize customer trust and sustainable platform value.

Atlassians can choose where they work—office, home, or a hybrid—giving them flexibility to support family and personal goals, and Atlassian hires people in any country where it has a legal entity. Jira Platform Search powers the foundational search backend for the Jira product suite, handling billions of requests daily within a large multi-tenant architecture, and is undergoing a multi-year transformation to boost performance, elasticity, and high-availability at scale. The Jira Platform Search Team is seeking a Principal Software Engineer to architect and lead high-scale search initiatives, decomposing core monolith services into modern microservices that can serve billions of daily requests across a global cloud. Responsibilities include end-to-end delivery from architectural design to production launch, defining roadmaps and execution strategies, and driving architectural excellence, engineering quality, resilience, and standardized review practices. The role emphasizes cross-functional alignment, domain expertise, rapid mastery of new tech stacks, and mentoring and developing engineering talent to elevate technical rigor and team growth.

- Atlassian offers flexible work options—office, remote, or a mix—and hires in any country with a legal entity to support employees’ family, personal goals, and priorities. - Data is central to Atlassian; billions of events are ingested monthly into the analytics platform, with dozens of teams relying on it to drive critical decisions. - The company also builds and maintains an analytical and operational data store to enable teams to make informed decisions on trusted data and services. - They are seeking a Senior Data Engineering Manager to join the growing Finance Data Engineering team within the Data Engineering department to democratize data and build data products. - Key responsibilities include leading and developing a team of data engineers, providing deep technical expertise in data engineering, driving engineering excellence and process improvements, and collaborating with cross-functional teams such as Business, Data Science, and Analytics Platform to foster a collaborative culture.

Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. The company is seeking a Principal Data Engineer to join the Data Engineering Team as a tech lead and architect to build scalable data solutions and drive a data-driven culture. Responsibilities include owning the technical evolution of data engineering, delivering incrementally, ensuring data quality, addressing performance, scale, security, and mentoring a team while coordinating with cross-functional partners. The role requires setting technical direction, balancing customer and business needs with long-term maintainability and scale, defining problems, architecting solutions, and leading a multi-functional team with close collaboration to other departments. Qualifications include 12+ years as a Data Engineer with at least 2 years as a tech lead, experience with streaming pipelines, SQL/Spark/Redshift, Airflow, AWS data services (or Apache projects), Databricks, MDM, and a streaming-first mindset; knowledge of Kappa/Lambda architectures and related data platforms is a plus, with compensation described as competitive.

Atlassian offers flexible work arrangements (office, remote, or a mix) and hires in any country where it has a legal entity. They are seeking a Principal Data Engineer to join the Data Engineering Team as a tech lead and architect, building world-class data solutions that power crucial business decisions. The role calls for an open-minded, structured thinker who can enable a world-class engineering practice, define how data is used, and develop backend systems and data models to serve insights while fostering a data-driven culture. You will own the technical evolution of data engineering, deliver solutions incrementally, ensure outcomes are met, escalate risks and issues promptly, and maintain high data quality with attention to performance, scale, and security. You will coordinate and mentor a team of data engineers, collaborate with counterparts across other departments in a multi-functional setting, and help grow the team and Atlassian’s data-driven culture.

Atlassian is seeking a Principal Data Scientist to uncover valuable insights from large data sets to improve products and influence the Service Collection roadmap using analytics, data science, and AI/ML. The ideal candidate brings superb business instincts, comfort with executive stakeholders, statistical analysis expertise, AI/LLM proficiency, cross-functional collaboration experience, and mentoring ability for junior data scientists. Responsibilities include influencing strategy and major decisions for Service Collection by blending end-to-end business acumen with advanced data science methodologies. Additional duties involve defining, reporting on department-level key results for the Service Collection R&D team, building measurement frameworks and models, and leading high-impact projects with Engineering, Product Management, Design, Data Engineering, and Insights teams to accelerate growth and shape the product roadmap. Atlassian offers flexible work arrangements (office, remote, or hybrid) and can hire in any country where they have a legal entity.

The Security Testing team partners with Atlassian’s internal teams worldwide to deliver innovative, holistic security testing that secures Atlassian products, platforms, and customers. The role supports Atlassian’s security team, engineers, and customers by performing high-quality manual penetration testing and code reviews to provide technical assurance. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country with a legal entity; interviews and onboarding are conducted virtually as part of a distributed-first approach. You will validate the state of Atlassian’s technical security controls and collaborate closely with security and engineering teams, enjoying vulnerability hunting beyond automated tools. Reading and understanding code is important, as products are built with multiple languages, with Java, Go, and Python being the most common.

The Security Testing team's mission is to partner with Atlassian internal teams worldwide to provide innovative and holistic security testing to secure Atlassian products, platforms, and customers. The role supports Atlassian’s security team, engineers, and customers by performing high-quality penetration testing on software, platforms, and services, and by providing world-class technical assurance through manual penetration testing and code review. Atlassian supports flexible work arrangements and hires in any country with a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. The role involves technically validating the state of Atlassian’s security controls and collaborating closely with security and engineering teams, with a focus on vulnerability hunting and finding issues that automated tools miss. Reading and understanding code is important for collaboration with product engineering teams, and the products are built primarily using Java, Go, and Python.