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Atlassian offers flexible work options—office, remote, or hybrid—to help employees balance family, personal goals, and priorities. They hire anywhere there is a legal entity, and with sufficient timezone overlap, applicants from Australia and New Zealand can apply from any location. The company is looking for Senior Software Engineers to join Sydney teams (Jira Server, Jira Cloud, Growth) who are exceptional, ready to take on responsibility, and serve as mentors. During interviews, candidates can code in the language they are strongest in; Atlassian values learning new technologies and is not strictly bound to Java, although the stack is predominantly Java. In this role, you will drive large autonomous projects from design to launch, tackle complex architecture, lead code reviews and documentation, fix high-risk bugs, collaborate across teams, and mentor juniors while bringing your knowledge to excel as a Java developer.

Atlassian offers flexible work options (office, remote, or hybrid) and can hire anywhere there is a legal entity; for Australia and New Zealand, hires require sufficient timezone overlap with the team. They are looking for talented Developers to join Sydney engineering teams (such as Jira Server, Jira Cloud, Growth) to shape the future for thousands of teams worldwide. The role emphasizes learning and growth, with expectations that candidates may be strong in one or more tech stacks but are not required to be an expert yet. During interviews, you can code in the language you excel at, even though the role primarily uses Java, as Atlassian’s stack includes Java, Kotlin, Python, and Ruby and they value the ability to learn new technologies. Responsibilities include driving projects from design to launch, applying architectural standards, contributing to code reviews and documentation, tackling complex bug fixes, writing technical documentation, learning and coding in Java, and mentoring junior engineers.

Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires people globally where it has a legal entity, with eligibility for Australia and New Zealand candidates based on sufficient timezone overlap. The company is seeking a Principal Backend Software Engineer to join a team focused on delivering creative improvements for engineering teams. Atlassian aims to become a 100-year company by building a world-class, empowered engineering organization that provides tools and infrastructure to do the best work, while prioritizing AI initiatives and the cloud transition across Jira, Confluence, Trello, and Bitbucket. In this role you will tackle the largest and most complex problems from design to launch, deliver cross-team solutions, determine plans of attack on large projects, and address architecture challenges while applying architectural standards. You will lead code reviews and documentation, perform complex high-risk bug fixes, set standards for reviews, collaborate on company-wide initiatives, transfer your depth of knowledge across languages, and mentor junior teammates.

Atlassian's mission is to unleash the potential of every team, with well-known products like Jira, Confluence, and Bitbucket that fit into diverse workflows and processes, and their work powers revolutions across industries such as NASA's Mars Rover and Cochlear's hearing technology. The Central AI Org is dedicated to driving AI innovation across all Atlassian products, 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, while exploring integration beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML for Atlassian teams, customers, and the ecosystem by creating productive, reliable tools to develop, deploy, measure, and operate AI/ML experiences that integrate with the Atlassian Data Platform and adhere to security and data usage policies. Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country with a legal entity to support personal goals and priorities. As a Senior Machine Learning System Engineer, you will build and refine infrastructure for ML models and pipelines, collaborate with product teams like Jira and Confluence, curate datasets, fine-tune LLMs, access proprietary LLMs, lead projects from design to launch, deliver code reviews and documentation, partner on company-wide initiatives, and mentor junior engineers.