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You’ll join Atlassian’s Encryption organization, Team Coral, within Information Protection, to build and operate Cryptor platform components, the Key Management service, and Security Standards/Governance, delivering platform services that underpin the security and performance of all Atlassian products. Cryptor is a high-scale platform for encryption and decryption of customer data and powers Customer Managed Keys (CMK/BYOK), with a cloud-agnostic roadmap to support AWS, GCP, and Azure in the future. The mission includes providing encryption implementations and standardisation for other teams, enabling application-level encryption, and maintaining compliance posture while focusing on performance, scaling, redundancy, caching and cost optimisation, along with shared security controls and FedRAMP compliance. You’ll be a hands-on backend engineer, acting as a technical SME, driving architecture and engineering best practices and collaborating with product security and business teams to map long-term vision to team roadmaps while operating at scale across cloud providers. You will focus on proactive security threat detection, anomaly detection and remediation within a zero-trust framework, reduce operational burden and tech debt, and influence leadership with a technical vision to support future needs and improve feature velocity and system health.

At Atlassian, employees can choose where they work—office, home, or a mix—and the company hires in any country where it has a legal entity. The Jira team at Atlassian focuses on enabling effective collaboration for teams in large, complex organizations, designing experiences that help enterprise personas work together, align on tasks, and extract ongoing value from Jira as organizations scale. As a Senior Product Manager for Jira, you will lead strategy and execution for a defined set of enterprise collaboration and engagement use cases, working as an individual contributor with significant input on both strategy and delivery. Responsibilities include owning the product area end-to-end, driving adoption and engagement by removing usage barriers, partnering with go-to-market teams to rollout enablement, developing deep understanding of enterprise workflows through research, defining success metrics, and collaborating with Engineering, Design, Research, and Product Marketing to deliver end-to-end product experiences while prioritizing trade-offs and communicating progress. Required background includes 8+ years in product management for B2B SaaS, end-to-end ownership, direct customer discovery and feedback, strong GTM collaboration, a track record of features that boost adoption and engagement, solid analytics and communication skills, and comfort operating in ambiguous problem spaces.

You will join Atlassian's Encryption organization, Team Coral within Information Protection, working on the Cryptor platform components, the Key Management service, and Security Standards/Governance to support the security and performance of all Atlassian products. Cryptor is a high-scale encryption/decryption platform powering Customer Managed Keys (CMK/BYOK), with an ambitious move toward cloud-agnostic cryptographic solutions across AWS, GCP, and Azure, while improving Atlassian's compliance posture and security standards. The mission includes delivering encryption implementations and standardization for other teams, providing application-level encryption capabilities, and ensuring performance, scalability, redundancy, caching, and cost optimization, plus common security controls for FedRAMP environments. You will be a hands-on backend engineer and technical SME, focusing on cloud technologies (Kubernetes, GCP, AWS), encryption/key-management solutions, architecture evolution, driving best practices, and mapping company-level initiatives to team roadmaps while addressing non-functional requirements at scale and proactive security threat detection and zero-trust remediation. You will collaborate with Product Security on policy standards, drive technical decisions across multiple teams, influence leadership with a future-focused technical vision, and aim to reduce operational burden and tech debt while improving feature velocity and system health.

Atlassian is seeking a Senior Manager to lead and develop a team of Enterprise Account Managers responsible for retaining and expanding its largest enterprise customers in APAC. The role serves as the regional lead for APAC, guiding the Enterprise Account Management strategy with independence while ensuring the global playbook is executed across a diverse market, reporting to the Global Head of Enterprise Account Management. You will drive best-in-class retention, pursue expansion opportunities, and maintain a predictable, high-performing regional business, with accountability for team performance and regional revenue forecasts on retention and growth KPIs. Atlassian offers flexible work options and can hire in any country where it has a legal entity; employees may work in-office, from home, or in a hybrid arrangement. You will lead the APAC team, collaborate with Global/APAC Sales, Channel/Partner ecosystems, and Customer Success to ensure a unified "One Atlassian" approach, apply the global GTM model and playbooks, oversee staffing and onboarding, remove blockers, and represent the APAC voice in global process improvements.

Atlassian offers flexible work options—office, home, or hybrid—and hires globally, all guided by the mission to unleash the potential of every team. The company’s well-known products like Jira, Confluence, and Bitbucket power teamwork and have enabled world-changing outcomes, such as NASA’s Mars Rover launch and Cochlear’s hearing technology. The Central AI Org focuses on AI innovation across Atlassian, delivering seamless AI experiences and a centralized Search, Q&A, and Conversational AI system while exploring integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML across Atlassian by building productive tools and ensuring secure, seamless integration with the Atlassian Data Platform for development, deployment, measurement, and operation. As a Senior Machine Learning System Engineer, you’ll develop core ML infrastructure, collaborate with product teams like Jira and Confluence, curate datasets, fine-tune LLMs, lead projects from design to launch, contribute to code reviews and documentation, and mentor junior engineers while supporting cross-team initiatives.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. As a Senior ML System Engineer on the AI & ML Platform team, you’ll develop and refine the core infrastructure that enables engineers, ML teams, and data scientists to build, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence to solve their ML challenges (datasets, fine-tuning open-source LLMs, or accessing proprietary LLMs). The role involves leading projects from technical design through launch and partnering with various teams to deliver impactful AI features used by millions of customers, along with code reviews, documentation, and bug fixes within a strong engineering culture. Required qualifications include 5+ years of experience building ML and AI infrastructure, comprehensive ML lifecycle expertise, large-scale distributed system design, and MLOps/automation for continuous training, deployment, and monitoring. Preferred skills include Python and ML frameworks (PyTorch, TensorFlow, or JAX), familiarity with cloud platforms (AWS, GCP, Azure), big data processing (Spark, Ray, Dask), performance optimization, and experience with GenAI/LMMs and retrieval-augmented generation (RAG).

The Rovo Mobile team is seeking an experienced principal mobile developer with React Native to help build AI vision on mobile and maintain the Rovo app at Atlassian. The role involves collaborating with design to develop new features and workflows in the Rovo Mobile app, and verifying their impact and usability. You will be responsible for feature development and delivering regular app releases, while contributing to code reviews, documentation, and handling complex bug fixes. The team is customer-focused, aiming to build high-quality features and scalable infrastructure, and you will drive collaboration across engineers, designers, and managers to understand user pain points and iterate. You will lead projects from technical design through launch to operation and onboard and mentor junior engineers.

Atlassian can hire eligible candidates from any location in Australia and New Zealand due to time zone overlap, and interested applicants are encouraged to apply and chat with the Recruitment team. They’re seeking a Principal Security Engineer focused on AI/ML to protect models, data pipelines, and inference services through innovative defenses and governance, staying ahead of evolving AI security risks and standards. The role involves leading AI security efforts, partnering across engineering, platform, infrastructure, and privacy to foster secure and trustworthy AI across platforms and products. The Principal Product Security Engineer will serve as the Technical SME, promoting automation, reviewing designs and architectures, and driving security teams to equip partner teams with tools, techniques, and methodologies to enhance AI security. On the first day, you should have hands-on experience securing AI/ML systems and cloud security for AI/ML workloads, coding in Java/JavaScript/Python/Go and scripting, and leading large-scale projects, with nice-to-have items including security-focused roles, ML/LLM security experience, mentoring, CVEs, open-source contributions, and industry presentations.

Atlassian is seeking a Cloud Network Engineer for its Edge Networking team, which owns the cloud infrastructure, tooling, and automation that enable global customers of Jira, Confluence, Trello, and Bitbucket to have a reliable network experience. The ideal candidate is a technical leader who is aware of current industry trends in networking, proxies, and reliability, and can balance operational and project workloads while sharing knowledge with others. Responsibilities include writing code to automate and operate large proxy fleets across multiple globally distributed regions, responding to operational events with mitigations, and contributing to large projects to deliver new networking features. The role also involves designing new network features, investigating to proactively improve security, reliability, and cost efficiency, and contributing to mentoring and hiring. Atlassian offers flexible work options, hires in any country with a legal entity, and the role reports to the Senior Engineering Manager of Edge Networking, with the aim of achieving higher reliability, performance, scalability, and cost efficiency.

- Atlassian offers flexible work arrangements and hires globally in countries where it has a legal entity. - The Future Team Search Platform powers fast, relevant, and reliable search across Atlassian products with scalable, low-latency infrastructure. - The Principal Machine Learning Systems Engineer role sits at the intersection of search, machine learning, and experimentation, blending 70% software engineering with 30% ML work on cross-functional teams. - Responsibilities include solving large-scale architectural challenges, developing ranking models and feature pipelines, building data infrastructure for ingest/processing/serving at scale, overseeing end-to-end ML production deployment with continuous evaluation and improvement, and mentoring across teams. - The ideal candidate has 10+ years in senior software leadership with end-to-end SDLC responsibility, experience with ML workflows at scale and AI/ML product leadership, proficiency in languages like Java/Python/Kotlin/Go/TypeScript, cloud experience, and familiarity with search tech (OpenSearch/Elasticsearch), DevX/experimentation, CI/CD, and running search systems at scale.

At Atlassian, employees have the flexibility to choose their work location, whether in an office, from home, or a hybrid arrangement, which helps them balance family and personal goals. The company seeks to hire talent from any country where they have a legal entity, placing emphasis on providing advanced support for enterprise customers, particularly during their transition to Atlassian Cloud. Senior Support Engineers are responsible for troubleshooting and resolving technical issues, offering support in Japanese for customers in Japan, and managing escalations using their expertise and soft skills. They engage in continuous improvement by performing case reviews, developing action plans, and contributing to knowledge-based documentation. The role requires a senior engineer proficient in both Japanese and English to effectively support customers and collaborate with varied teams within the organization.

Atlassian offers employees flexibility in their work location, allowing them to work in an office, remotely, or a hybrid of both. Senior Support Engineers are integral to assisting enterprise customers with transitions to Atlassian Cloud and troubleshooting technical issues. These engineers enhance customer satisfaction by diagnosing problems and providing support through various communication channels, including Japanese for customers in Japan. They also review support cases for trends, advocate for customer needs, and contribute to continuous improvement within the support team. The role requires strong communication skills in both Japanese and English, with responsibilities including collaboration across teams and occasional weekend shifts.