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AmericasSenior Software Engineer
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Before you apply
Salary$145k – $235k
LocationSeattle, WA, US; UNAVAILABLE, UNAVAILABLE, CA; San Francisco, CA, US; Mountain View, CA, US
Typefull-time
SenioritySenior
DepartmentEngineering
EquityIncluded
Company size10,000+ people
PostedOct 31, 2026 · 1w ago
Verified live6h ago
At a glanceSummarised by Seekless from the posting.
Senior Software Engineer (Confluence AI) - technical ownership & execution
Build high-quality AI experiences across full stack
Own complex features from design through launch and improvement
Build cohesive experiences across frontend, backend, and AI integrations
Contribute to architecture decisions balancing speed, quality, and maintainability
Deliver scalable, reliable software meeting performance, security, accessibility, and cost requirements
Apply advances in generative AI, retrieval, agents, and evaluation
Develop automated evaluations and test datasets for AI quality
Prototype and evaluate emerging technologies against customer needs
Collaborate with ML and platform engineers to improve AI systems
Use production monitoring and user feedback to diagnose and improve AI experiences
Build intuitive AI features for discovery and everyday use
Work with product, design, and analytics to address adoption barriers
Instrument features to measure AI quality, activation, usage, retention, and value
Design and run experiments to assess quality and usability improvements
Iterate on features to earn user trust and deliver recurring value
Partner cross-functionally with product, design, engineers, data scientists
Coordinate with adjacent teams to integrate shared AI capabilities
Communicate technical decisions, tradeoffs, and experiment results clearly
Contribute across frontend, backend, and AI integration boundaries
Mentor engineers through pairing, code reviews, and technical guidance
Improve team practices for testing, AI evaluation, observability, and delivery
Build reusable components and share approaches for team effectiveness
Contribute to a culture of curiosity, collaboration, accountability, continuous learning
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 align with broader Confluence AI direction
Identity verification (including biometric data) is a condition of employment for fraud purposes
Skills
Python
React
AWS
PostgreSQL
Benefits
Health insurance
Paid volunteer days
Equity
Bonuses
Commissions
Overview
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.
Responsibilities
About the role
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
Compensation
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 go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
Benefits
This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay Ranges
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $180,000 - $235,000
Zone B: $162,000 - $211,500
Zone C: $149,400 - $195,050
In Canada, for this role, our current base pay range for new hires is:
Canada: CA$144,900 - CA$189,175
Qualifications
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.
About Atlassian
At Atlassian, we’re motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone’s perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
Legal
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.