Employees at Atlassian are consistently driven by growth — both for the user experiences they strive to perfect and for their own careers. Guiding that growth? Five values infused into the culture that leaders like Jensen Bouzi embody every day. “Some of the Atlassian values that resonate with me the most are ‘play as a team,’ ‘be the change you seek,’ and ‘build with heart and balance,’” the senior frontend engineer said. “Each day I try to incorporate them into my work.” This approach has empowered employees to not only align their future career goals with Atlassian’s mission, but enhance the abilities of what their tech can do while powering products like Jira, Confluence and Trello.
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Atlassian Data Science Team
An inside look at the Atlassian Data Science team — a culture rooted in collaboration, teamwork and psychological safety.
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Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Participate in a 12-week product design internship focused on creating accessible, user-centered experiences across Atlassian products. Collaborate with product managers, engineers, researchers, and designers to understand customer needs, prototype solutions, conduct usability testing, apply research and product data, and contribute to design systems and documentation. The role emphasizes AI-powered experiences, teamwork tools, interaction design, visual design, and systems design.
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead design, build, and maintain scalable infrastructure and platform services. Improve reliability, automation, CI/CD, observability, and security. Collaborate with engineering teams to define best practices and troubleshoot production incidents.
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and lead production machine learning and evaluation systems for Atlassian’s Rovo AI agents. Responsibilities include developing datasets, simulations, automated judges, experimentation platforms, and quality signals; advancing reasoning, planning, retrieval, memory, and tool use; identifying and correcting systemic failures; and balancing quality, safety, latency, reliability, and cost. The role requires hands-on technical leadership, cross-functional influence, architectural decision-making, mentorship, and delivery of measurable customer outcomes at scale.
