Principal Software Engineer
- Confluence AI Engineering | Canada, Canada | Remote, Remote | San Francisco, United States | Seattle, United States | Mountain View, United States or Remote 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 Principal Software Engineer in the Confluence AI group, you will lead the development of high-quality AI experiences that help teams create, discover, and collaborate on knowledge. You will shape technical strategy across the full stack, applying advances in AI to improve product quality, deepen user trust, and drive sustained adoption and growth. Working closely with product, design, engineering, analytics, and machine learning teams, you will turn emerging technologies into reliable, intuitive capabilities that deliver lasting customer value. Technical Leadership & Execution Drive complex technical decisions that shape the direction of Confluence AI across teams and multiple quarters Set technical direction across user experiences, backend services, and AI integrations, balancing delivery speed, quality, and long-term maintainability Design scalable, resilient systems that meet performance, reliability, security, 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 experiences Build quality into the full product lifecycle through automated evaluations, representative test datasets, user feedback,



and production monitoring Prototype and assess emerging technologies, adopting approaches that demonstrate measurable improvements in customer outcomes Partner with machine learning and platform teams to improve grounding, context retrieval, orchestration, and safeguards Establish continuous improvement processes that connect production insights to engineering priorities Build intuitive full stack experiences that make AI capabilities easy to discover, understand, and incorporate into everyday workflows Define and track measures of AI quality, activation, repeat usage, retention, and customer value Use experimentation to understand how improvements in quality and usability contribute to sustained growth Collaborate closely with product managers, designers, engineers, and data scientists to deliver cohesive AI experiences Communicate technical strategy, tradeoffs, and results clearly to technical and non-technical stakeholders Bridge gaps across frontend, backend, AI infrastructure, and analytics to ensure end-to-end ownership of customer outcomes Mentor engineers across levels, strengthening full stack engineering, AI integration, and experimentation practices Raise engineering standards through technical guidance, design reviews,



and hands-on contributions Develop reusable capabilities and practices that help teams deliver high-quality AI experiences more effectively Share learning across the organization and build a culture of curiosity, accountability, and continuous improvement Make informed decisions by balancing customer impact, technical feasibility, delivery speed, risk, and cost Connect individual capabilities to a coherent Confluence AI strategy and broader Atlassian platform direction Anticipate evolving customer needs and technology shifts, guiding investments that support durable product quality and growth We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range. This role may also be eligible for benefits, bonuses, commissions, and equity. Atlassian offers a wide range of perks and advantages designed to support you, your family and to help you engage with your local community. Our software products help teams all over the planet and our solutions are designed for all types of work. 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. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. 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. Join our Talent Community and stay up-to-date on company and careers updates relevant to your career. #

📌 Principal Software Engineer (Winnipeg)
🏢 Atlassian
📍 Winnipeg