Senior Software Engineer Jobs

About The Position

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Benefits

• The role may be eligible for benefits, bonuses, commissions, and equity.
• Atlassian offers health and wellbeing resources and paid volunteer days.