Senior Software Engineer, Agentic AI
Atlassian
Working at Atlassian
Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
About the team
The Cloud Access & Intelligence (CAI) org at Atlassian focuses on AI-first solutions that simplify admin experiences, automate workflows, and enhance customer support through intelligent agents. We’re pushing the boundaries of LLM-based features, prompt engineering, and AI-driven automation to tackle complex customer and admin challenges. We’re a tight-knit team of ~10 engineers across Sydney and India.
What you'll do
Build AI Agents for admins that reduce friction and boost efficiency.
Deliver reusable AI Agent components and patterns (prompt templates, evaluation, RAG, contextual retrieval, reporting).
Scale AI adoption across Atlassian by standardizing agent development and enabling other teams to build faster.
Build and ship features and capabilities daily in highly scalable, cross-geo distributed environment
Review code with best practices of readability, testing patterns, documentation, reliability, security, and performance considerations in mind
Mentor and level up the skills of your teammates by sharing your expertise in formal and informal knowledge sharing sessions
Ensure full visibility, error reporting, and monitoring of high performing backend services
Participate in Agile software development including daily stand-ups, sprint planning, team retrospectives, show and tell demo sessions
Your background
7+ years of experience building and developing backend applications
Bachelor's or Master's degree with a preference for a Computer Science degree
A passionate backend engineer, eager to learn and ship impactful features
Experience building LLM-powered systems and prompt engineering
Familiarity with RAG pipelines, evaluation frameworks, or fine-tuning workflows
Motivated to explore greenfield AI initiatives and learn continuously
Experience crafting and implementing highly scalable and performant RESTful micro-services
Proficiency in any modern object-oriented programming language (e.g., Java, Kotlin, Go, Scala, Python, etc.)
Fluency in any one database technology (e.g. RDBMS like Oracle or Postgres and/or NoSQL like DynamoDB or Cassandra)
Broad knowledge and understanding of SaaS, PaaS, IaaS industry with hands-on experience of public cloud offerings (AWS, GAE, Azure)
Skilled in writing clean, maintainable, well-tested code
Strong in debugging and problem-solving, especially across services and APIs
Comfortable in fast-paced, Agile, collaborative environments
Excited to take ownership of modules and deliver end-to-end
If you’re excited about building scalable AI-powered systems, working with LLMs and prompt engineering, and contributing to impactful solutions that help customers and admins, we’d love to hear from you!