Lead backend architecture and deliver reusable solutions, unblock engineering teams across the development lifecycle, drive complex design and bug fixes, set code review standards, mentor engineers, collaborate on company-wide projects, and make technical decisions balancing correctness, performance, and customer impact.
Engineering | San Francisco, United States | Remote, Remote
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 We're looking for a Principal Backend Software Engineer to join our team, passionately focused on delivering creative improvements for our engineering teams.
What you'll do
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 We're looking for a Principal Backend Software Engineer to join our team, passionately focused on delivering creative improvements for our engineering teams.
What you'll do
- Regularly unblock challenges faced in the software development cycle, from technical design to launch
- Create solutions that are used by other teams and products - Determine plans-of-attack on large projects
- Routinely solve complex architecture challenges and apply architectural standards and start using them on new projects
- Lead code reviews and documentation and take on complex bug fixes, especially on high-risk problems
- Set the standard for meaningful code reviews - Partner across engineering teams to take on company-wide projects
- Transfer your depth of knowledge from your current language to excel as a Software Engineer
- Mentor more junior members of the team
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
Atlassian San Francisco, California, USA Office
Atlassian believes the future of work is distributed and offers our people the flexibility to help them do what’s important to them. And with few exceptions, we hire people anywhere we have a legal entity as long as they have eligible work rights and sufficient team time zone overlap.
Atlassian Mountain View, California, USA Office
301 E Evelyn Ave., Mountain View, CA, United States, 94041
Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the technical direction and implementation of large-scale SaaS product features. Build secure, reliable, maintainable, well-tested software; evaluate architectural trade-offs; debug team inefficiencies; and contribute to code reviews, documentation, and complex bug fixes. Collaborate across product, design, and engineering, influence strategy, identify organizational blockers, mentor engineers, and improve engineering practices around testing, performance, security, privacy, and reliability.
Top Skills:
AWSDistributed SystemsJavaKotlinMicroservicesObservability ToolsSaaS
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead Atlassian’s Agent Platform engineering team, combining people management with hands-on technical leadership. Set direction for applied ML, agent workflows, retrieval, evaluation, observability, reliability, security, privacy, and scalable platform foundations. Hire, coach, and develop engineers; establish planning and execution practices; write production code; and align roadmaps across product, engineering, ML, data, and platform stakeholders to deliver reliable AI experiences.
Top Skills:
Agentic SystemsAi/Ml SystemsApplied MlContext RetrievalEvaluation SystemsObservabilityPlatform EngineeringProduction Operations
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and launch complex backend projects, design scalable architectures, lead code reviews, resolve high-risk issues, and contribute to company-wide engineering initiatives. The role involves Java development, distributed systems, cloud platforms, databases, performance optimization, mentoring engineers, and influencing technical decisions across teams.
Top Skills:
AgileAWSAzureCassandraDistributed SystemsDynamoDBGCPGoIaasJavaKotlinMicroservicesOraclePaasPostgresPythonSaaSScalaScrumXp
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
