Atlassian provides tools to help every team unleash their full potential.
The Role
Design, build, and operate scalable, low-latency search and retrieval systems powering Atlassian products. Develop and serve production ML models (neural rankers, embeddings, rerankers) using PyTorch and Triton. Implement vector indexing and RAG/agentic retrieval pipelines, ensure observability and cost optimization, manage on-call/runbooks, and collaborate cross-functionally while mentoring junior engineers.
Summary Generated by Built In
Engineering | Seattle, United States | Remote, Remote | San Francisco, United States | Austin, United States | New York, United States
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.
Your future team
In Networking we build and operate shared services that route and protect traffic across Atlassian's cloud infrastructure and products. Our work spans API gateways, rate limiting, service connectivity and real-time messaging, helping product teams deliver reliable experiences at scale.
As a P50 Senior Software Engineer, you will design, build and operate distributed platform services. You will take projects from an ambiguous problem through design, implementation, rollout and production ownership, working with engineers, architects and internal customers across Atlassian.
What you'll do
What you'll bring
Additional experience we'd value
Proposed first 6-12 month outcomes
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit
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.
Your future team
In Networking we build and operate shared services that route and protect traffic across Atlassian's cloud infrastructure and products. Our work spans API gateways, rate limiting, service connectivity and real-time messaging, helping product teams deliver reliable experiences at scale.
As a P50 Senior Software Engineer, you will design, build and operate distributed platform services. You will take projects from an ambiguous problem through design, implementation, rollout and production ownership, working with engineers, architects and internal customers across Atlassian.
What you'll do
- Build and evolve reliable, resilient, high-throughput and low-latency backend services.
- Evolve shared networking services across AWS, GCP and Kubernetes, delivering safe migrations that preserve compatibility and reliability for dependent teams.
- Build traffic-control capabilities that protect services from bursts, enforce quotas fairly and give engineers visibility into throttling decisions.
- Own projects end to end: clarify requirements, evaluate design tradeoffs, implement and test changes, plan safe rollouts and measure their results.
- Improve platform reliability, performance, scalability and operational efficiency.
- Participate in the team's production support and on-call responsibilities, investigate incidents and deliver lasting improvements.
- Work with partner teams to understand their needs and deliver reusable platform capabilities.
- Mentor engineers, provide thoughtful code and design reviews, share knowledge and improve engineering practices.
What you'll bring
- Experience independently delivering and operating backend services in production at scale, with the technical judgment expected of a senior engineer.
- Strong software development skills in one or more of Java, Kotlin, Go or Python, and willingness to work across the team's stack.
- A sound understanding of networking protocols, distributed systems, microservices, HTTP and REST APIs, including their failure modes and performance tradeoffs.
- Experience debugging complex production issues using logs, metrics and other observability tools.
- Experience with automated testing, continuous delivery and safe changes to production services.
- Clear communication, effective collaboration across teams and a track record of mentoring other engineers.
Additional experience we'd value
- API and traffic management, rate limiting, authentication or service-to-service connectivity.
- Cloud infrastructure, such as AWS and GCP, and container technologies such as Docker and Kubernetes.
- Building a service from the initial requirements through launch and ongoing ownership.
- Improving on-call practices, incident response, service reliability or infrastructure cost efficiency.
Proposed first 6-12 month outcomes
- Develop enough knowledge of the team's services and dependencies to contribute confidently to operations and incident response.
- Own a networking platform capability or migration through production rollout and adoption, demonstrating an agreed improvement in reliability, latency, operating cost or developer effort.
- Deliver measurable reliability, performance or operational improvements and share the resulting knowledge across the team.
- Support the growth of other engineers through mentoring, design collaboration and high-quality reviews.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit
Skills Required
- Design and implement scalable search serving infrastructure including retrieval pipelines and vector indexing systems
- Experience building and maintaining production ML models (neural rankers, embedding models, reranking systems)
- Integrate models into serving infrastructure using Triton and PyTorch
- Design retrieval systems for agentic search and RAG use cases, including personalized indexes and grounding pipelines
- Deliver end-to-end ML components from experimentation to multi-region, multi-tenant production rollout meeting SLOs
- Operate production systems with strong observability, monitoring, incident response, runbooks, and on-call responsibility
- Apply FinOps/cost-optimization principles across vector search infrastructure and ML serving fleets
- Collaborate with ML researchers to productionize experimental models and build evaluation/monitoring harnesses
- Mentor junior engineers and participate in design reviews, roadmap planning, and cross-functional collaboration
What the Team is Saying
Tiffany
Engineering Senior Associate, United States
Gautam
Software Engineer, United States
Tygrr
Product Manager, United States
Ashleigh
Frontend Engineer, United States
Jensen
Senior Frontend Software Engineer, United States
Javier
Senior Solutions Engineer, United States
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The Company
What We Do
Atlassian creates teamwork solutions for high-performing teams. Our portfolio of collaboration and work management software products includes Jira, Confluence, Trello, Loom and Rovo. More than 300,000 businesses worldwide rely on Atlassian’s technology, including 80 percent of Fortune 500 companies. Our solutions support various business teams and they help organizations plan, track, and deliver their biggest ideas together.
Why Work With Us
At Atlassian, we believe we can accomplish so much more together than apart — which is why everything from our tooling — to our distributed workforce — to how our teams are structured is rooted in collaboration. Come join us and help unleash the potential of every team.
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