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Atlassian

Principal Software Engineer

Reposted 6 Days Ago
In-Office or Remote
Hiring Remotely in 94104, San Francisco, CA
Entry level
In-Office or Remote
Hiring Remotely in 94104, San Francisco, CA
Entry level
Principal Software Engineer role at Atlassian with flexible work-location options. The provided description contains no specific responsibilities or qualification requirements. Compensation includes a U.S. base salary range varying by geographic pay zone, plus potential benefits, bonuses, commissions, and equity.
The summary above was generated by AI
Engineering | San Francisco, United States | Remote, 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.
About the Role
We're looking for a Principal Full Stack Engineer (P60) to join the Atlassian Design System (ADS), part of the Dev Infra organisation. This role is based in the United States.
ADS enables Atlassian teams to build familiar, cohesive experiences across the System of Work. You'll join a multidisciplinary group shaping the foundations that make Atlassian products expressive, accessible, performant and consistent, including our React component library, design tokens, theming infrastructure, guidelines, patterns, documentation, tooling and services.
This role sits at the intersection of full stack engineering, design systems, architecture, AI and developer experience. You'll help evolve scalable frontend and backend foundations used across Atlassian while enabling AI tools and workflows to use rich, structured design system context. Together, this work helps thousands of Atlassians, AI agents and Marketplace partners create high-quality experiences for millions of users.
  • Build reusable product foundations: Design, implement and evolve production-grade React components, platform patterns, APIs and services that improve cohesion across Atlassian products.
  • Own end-to-end technical delivery: Lead projects from problem definition and technical design through implementation, launch, measurement and iteration across frontend and backend systems.
  • Shape full stack architecture: Contribute to scalable package architecture, service boundaries, API contracts, data models, theming, testing, release processes and migration approaches.
  • Develop AI-enabled workflows: Build tools, integrations and experiences that help AI agents and makers use ADS accurately, including structured design system content and MCP-based capabilities.
  • Build reliable services and integrations: Create secure, observable and maintainable backend capabilities that support design system tooling, content, adoption workflows and developer experiences.
  • Prototype and productise new ideas: Collaborate with design technologists to turn early concepts into realistic coded prototypes, then mature the most valuable ideas into reliable experiences.
  • Improve quality and trust: Ensure solutions meet high standards for accessibility, performance, visual quality, security, observability, reliability and maintainability.
  • Collaborate across Atlassian: Partner with product teams and other ADS pillars to support adoption, staged rollouts, migrations and consistent implementation.
  • Increase developer velocity: Improve tooling, automation, documentation and workflows that reduce friction, technical debt and duplicated effort.
  • Provide technical leadership: Break down complex work, identify risks, communicate trade-offs, influence technical direction and guide delivery with a strong focus on customer and partner impact.
  • Raise engineering standards: Establish patterns for testing, observability, API design, operational readiness, secure development and sustainable ownership.
  • Grow the engineering culture: Mentor engineers, participate in design and code reviews, share knowledge and contribute to a collaborative, high-performing team.

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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