OverviewAs 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.
Responsibilities
What You’ll Do
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.
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 Leadership
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.
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 engineering values, and contribute to hiring and interview loops.
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.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay Ranges
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $209,700 - $273,775
Zone B: $188,730 - $246,398
Zone C: $174,051 - $227,233
Qualifications
Senior Technical Leadership: 8–12+ years of full stack software engineering experience, with demonstrated impact at a Staff/Principal level leading large, ambiguous multi-team initiatives.
Growth & Experimentation Mindset: Deep experience operating in growth-focused environments (onboarding, activation, conversion funnels, viral loops, or product-led expansion), with strong familiarity in statistical experimentation (MDEs, power, guardrail metrics).
Modern Frontend Mastery: Deep expertise in TypeScript, React, modern state management, frontend performance optimization, micro-frontends, and accessible component architectures.
Scalable Backend Systems: Strong proficiency in backend service development (Java, Kotlin, Go, or Python), GraphQL / RESTful APIs, microservices, and AWS cloud infrastructure.
Cross-Product Integration Expertise: Experience designing extensible APIs and shared UI components that embed cleanly across multiple independent host applications.
Data & Instrumentation Rigor: Hands-on experience with telemetry pipelines, event tracking schema design, and data querying (SQL/analytics tools) to diagnose funnel drop-offs and attribution.
Collaborative Leadership: Exceptional communication skills with a proven track record of aligning engineers, PMs, designers, and data scientists around complex architectural trade-offs.
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.
