Senior Software Engineer

Posted 12 Minutes Ago
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5 Locations
In-Office or Remote
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Atlassian provides tools to help every team unleash their full potential.
The Role
Build and improve Confluence AI experiences across frontend, backend, and AI integrations. Own features from design through launch, apply generative AI, retrieval, agents, and evaluation techniques, create automated quality testing, monitor production performance, run adoption experiments, and collaborate cross-functionally. Mentor engineers and contribute to architecture, observability, testing, safeguards, and scalable software delivery.
Summary Generated by Built In
Engineering | Seattle, United States | Remote, Remote | Canada, Canada | San Francisco, United States | Mountain View, United States or 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.
As a Senior Software Engineer in the Confluence AI group, you will build high-quality AI experiences that help teams create, discover, and collaborate on knowledge. You will work across the full stack, applying advances in AI to improve product quality, deepen user trust, and drive sustained adoption and growth. Partnering with product, design, analytics, and machine learning teams, you will turn emerging technologies into reliable, intuitive features that deliver lasting customer value.
Technical Ownership & Execution
  • Own complex features from technical design and implementation through launch and ongoing improvement
  • Build cohesive experiences across frontend interfaces, backend services, and AI integrations
  • Contribute to architecture decisions, balancing delivery speed, quality, and long-term maintainability
  • Deliver scalable, reliable software that meets performance, security, accessibility, and cost requirements

AI Quality & Innovation
  • Apply advances in generative AI, retrieval, agents, and evaluation to improve the usefulness, accuracy, and consistency of Confluence AI features
  • Develop automated evaluations and representative test datasets to validate quality and prevent regressions
  • Prototype and evaluate emerging technologies against concrete customer needs and measurable outcomes
  • Collaborate with machine learning and platform engineers to improve grounding, context retrieval, orchestration, and safeguards
  • Use production monitoring and user feedback to diagnose issues and continuously improve AI experiences

Product Adoption & Sustained Growth
  • Build intuitive experiences that make AI features easy to discover, understand, and use in everyday workflows
  • Work with product, design, and analytics to identify and address barriers to adoption
  • Instrument features to measure AI quality, activation, repeat usage, retention, and customer value
  • Design and run experiments to assess how quality and usability improvements affect adoption and engagement
  • Iterate on features to earn user trust and deliver recurring value

Cross-Functional Collaboration
  • Partner with product managers, designers, engineers, and data scientists to translate customer needs into practical technical solutions
  • Coordinate with adjacent teams to integrate shared AI capabilities and resolve dependencies
  • Communicate technical decisions, tradeoffs, and experiment results clearly
  • Contribute across frontend, backend, and AI integration boundaries to deliver complete customer experiences

Mentorship & Team Impact
  • Mentor engineers through pairing, code reviews, and technical guidance
  • Improve team practices for testing, AI evaluation, observability, and software delivery
  • Build reusable components and share approaches that help the team deliver more effectively
  • Contribute to a culture of curiosity, collaboration, accountability, and continuous learning

Problem Solving & Decision Making
  • Independently break down ambiguous problems into achievable implementation plans
  • Use prototypes, experiments, and data to reduce uncertainty and guide decisions
  • Balance customer impact, technical complexity, risk, and cost when choosing solutions
  • Identify opportunities for improvement and work with technical leaders to align them with the broader Confluence AI direction

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.
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What the Team is Saying

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Atlassian Compensation & Benefits Highlights

  • Parental & Family Support — Parental support is highlighted through generous paid leave for birthing and non-birthing parents, plus fertility, adoption, and surrogacy benefits. Family-building coverage also includes IVF and fertility preservation.
  • Healthcare Strength — Healthcare is described as comprehensive, spanning medical, dental, vision, disability and life insurance, HSA/FSA access, and extensive mental-health resources. Support includes counseling and crisis services.
  • Retirement Support — Retirement benefits are noted as a standout feature in the U.S., including a company 401(k) match with immediate vesting. This structure supports long-term savings as part of total compensation.

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The Company
HQ: San Francisco, CA
11,000 Employees
Year Founded: 2012

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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About our Teams

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Employees work remotely.

Atlassians have flexibility in where they work to support their family, personal goals, and other priorities. Our approach to distributed work allows us to tap into talent beyond our office locations, and to reimagine how work gets done.

Typical time on-site: None
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