Introduction
The Atlassian software engineer interview is evolving quickly, especially for those who support AI-integrated platforms at scale. Atlassian’s engineering headcount grew by over 600 last quarter alone, driven by expansions in R&D and the rollout of intelligent agents like Rovo AI. These systems are transforming how software is planned, built, and maintained, requiring engineers who understand both infrastructure and machine learning pipelines. With projects like the SBOM platform, Model Context Protocol Server, and cloud migration tooling gaining momentum, candidates must demonstrate real-world problem-solving across distributed systems and analytics. This guide helps you prepare for the kinds of technical, cross-functional questions Atlassian asks—so you can walk in with clarity, confidence, and the context needed to crack the interview.
