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Atlassian is seeking a Principal Full Stack Software Engineer (P60) to lead multi-quarter onboarding and cross-flow initiatives across Confluence, Loom, and TWC. You will bridge frontend micro-frontends with robust backend integration services and experimentation infrastructure.
You will own system architecture, write production-grade code in React/TypeScript, mentor engineers, and partner with cross-product teams to deliver cohesive experiences while maintaining performance and reliability.
As a Principal Full Stack Software Engineer (P60) on Starburst, you will serve as the lead technical anchor for multi-quarter onboarding and cross-flow initiatives across Atlassian's product suite. You will bridge complex frontend micro-frontends with robust backend integration services and experimentation infrastructure.
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.
Lead System Architecture: Define the technical vision and architectural patterns for multi-product Onboarding and CrossFlow experiences across Confluence, Loom, and TWC.
Build End-to-End Solutions: Write production-grade code for high-complexity full stack features spanning React/TypeScript micro-frontends and scalable backend microservices.
Champion Growth Engineering: Architect fast, robust experimentation frameworks and instrumentation (Statsig, telemetry) to power rapid hypothesis testing and conversion optimization.
Bridge Multi-Product Teams: Partner across product boundaries (Loom, Confluence, Platform) to deliver seamless shared surfaces and cohesive API contracts.
Drive Operational Excellence: Safeguard application performance, reliability, and observability while driving down operational toil and defect rates.
Multiply the Team: Mentor senior engineers, author high-impact RFCs/tech specs, and elevate the technical craft across the Growth organization.
Architect cross-product surfaces: Lead the technical strategy and architecture for end-to-end user journeys connecting Loom, Confluence, and Jira (e.g., embedding Loom async video capture/preview within Confluence or Jira workflows).
Define clean integration patterns: Design robust API contracts (GraphQL, REST) and modular micro-frontend components that embed seamlessly into disparate host applications without causing performance or latency regressions.
Author foundational Technical Specs & RFCs: Write comprehensive technical specifications, evaluate build-vs-buy decisions, and drive technical consensus across multiple engineering squads and platform teams.
Drive high-velocity experimentation: Partner with Product Managers and Data Scientists to design, instrument, and launch complex A/B and multivariate experiments (using Statsig/feature flags) to accelerate trial starts, activation, and conversion.
Build clean experiment architectures: Structure frontend and backend code so experiments can be launched, modified, and cleaned up quickly without accumulating unmanaged tech debt.
Own attribution & telemetry pipelines: Ensure accurate end-to-end event logging and funnel telemetry to maintain high data fidelity and minimize Time-to-Detect (MTTD) for funnel or attribution bugs.
Deliver complex/foundational code (60-70% hands-on): Build critical paths, shared libraries, and proof-of-concept prototypes that pave the way for other engineers.
Lead platform consolidation & modernization: Decommission legacy flows, unify fragmented onboarding/activation mechanisms, and build reusable patterns for cross-flow journeys.
EPD Triad Partnership: Work closely with Product Management, Product Design, and Data Science from early ideation through execution and post-launch experiment analysis.
Partner across org boundaries: Align with core product teams (e.g., Confluence Core, Loom Engineering, Platform/Identity, Commerce) to resolve shared dependencies and navigate host-app constraints.
Uphold performance & latency guardrails: Ensure onboarding modals, embedded video players, and cross-flow triggers do not degrade host-page load times or core web vitals.
Reduce operational toil (Run the Business / RtB): Implement automated testing, CI/CD improvements, and proactive monitoring/alerting to reduce on-call burden and eliminate recurring hotfixes.
Mentor and grow talent: Coach Senior (P40) and Lead (P50) engineers on system design, technical writing, and growth engineering practices.
Elevate engineering standards: Lead code and architectural design reviews, champion Atlassian engineering values, and contribute to hiring and interview loops.
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.