Senior Software Engineer

Atlassian; United States; A distancia; USD 162.000 - 235.000; Jornada completa

Descripción de la vacante

Atlassian is hiring a Senior Software Engineer for the Confluence AI group. You will build high-quality AI experiences across the full stack to help teams create, discover, and collaborate on knowledge.

You will partner with product, design, analytics, and ML teams to translate customer needs into reliable, intuitive features with measurable value. The role emphasizes scalable, secure, accessible, and cost-conscious software delivery.

Responsabilidades

• Own complex features from design and implementation through launch and improvement
• Build cohesive experiences across frontend, backend, and AI integrations
• Contribute to architecture decisions balancing delivery speed, quality, and maintainability
• Deliver scalable, reliable software meeting performance, security, accessibility, and cost requirements
• Apply advances in generative AI, retrieval, agents, and evaluation to improve AI features
• Develop automated evaluations and test datasets to validate quality
• Prototype and evaluate emerging technologies against customer needs and measurable outcomes
• Collaborate with ML and platform engineers to improve grounding, context retrieval, orchestration, and safeguards
• Use production monitoring and user feedback to diagnose issues and improve AI experiences
• Build intuitive experiences that enable easy discovery and use of AI features
• Work with product, design, and analytics to identify adoption barriers
• Instrument features to measure AI quality, activation, and retention
• Design and run experiments to assess impact of quality on adoption and engagement
• Iterate on features to earn user trust and recurring value
• Partner with managers, designers, engineers, and data scientists to translate needs into solutions
• Coordinate with adjacent teams to integrate shared AI capabilities
• Communicate technical decisions and tradeoffs clearly
• Contribute across frontend, backend, and AI boundaries to deliver complete experiences
• Mentor engineers via pairing, code reviews, and guidance
• Improve team practices for testing, observability, and software delivery
• Build reusable components and share approaches for efficiency
• Contribute to a culture of curiosity, collaboration, accountability, and learning
• Independently break down ambiguous problems into actionable plans
• Use prototypes and data to guide decisions
• Balance customer impact, technical complexity, risk, and cost
• Identify opportunities for improvement and align with Confluence AI direction

Descripción del empleo

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

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.

Pay Ranges

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

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 s