Principal Full Stack Software Engineer; P60
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-11-04
Listing for:
Atlassian
Full Time
position Listed on 2026-11-04
Job specializations:
-
Software Development
Software Architect, Full Stack Developer, Software Engineer, Backend Developer
Job Description & How to Apply Below
Overview
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.
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
What You’ll DoLead System Architecture:
Define the technical vision and architectural patterns for multi-product Onboarding and Cross Flow experiences across Confluence, Loom, and TWC.Build End-to-End Solutions:
Write production-grade code for high-complexity full stack features spanning React/Type Script 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.
1. Technical Architecture & Cross-Product Systems 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.
2. Growth Experimentation & Telemetry Rigor 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.
3. Hands-on Execution & Foundational Prototyping 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.
4. Cross-Functional Collaboration & Triad LeadershipEPD 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.
5. Operational Health, Performance & Reliability 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.
6. Mentorship, Craft & Team Multiplier 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…
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