3 days ago
Base Salary
$202k - $318k/yr
Responsibilities
- Define multi-year architectural blueprints, principles, and roadmaps for Dev AI platforms.
- Drive architectural decisions across complex distributed systems, balancing reliability, scalability, security, latency, and inference economics.
- Design scalable runtimes for autonomous developer agents, including execution sandboxes, tool orchestration, task decomposition, and memory systems.
- Guide code synthesis, automated review, and semantic-search capabilities using repository context and the Atlassian Teamwork Graph.
- Establish shared libraries, frameworks, and standardized agent-development patterns.
- Set production-readiness standards for availability, customer-data isolation, latency, and responsible AI governance.
- Shape automated agent evaluation, benchmarking, telemetry, and incident-remediation practices.
- Align platform roadmaps across engineering, product, architecture, and CTO organization stakeholders without direct authority.
- Mentor and sponsor senior and principal engineers while remaining hands-on with strategic prototypes and architectural validation.
Requirements
- Significant experience as a senior technical leader for large-scale distributed systems, developer platforms, AI/ML systems, cloud infrastructure, or comparable business-critical platforms.
- Demonstrated success setting technical direction and delivering multi-team or multi-organization platform initiatives.
- Deep expertise in distributed-systems architecture, cloud infrastructure, reliability engineering, and production operations.
- Practical experience designing, building, or operating production-grade AI systems, LLM orchestration frameworks, autonomous agent runtimes, or modern developer tooling.
- Strong understanding of cloud-native compute platforms, containerized environments, secure execution sandboxes, workload isolation, autoscaling, observability, and resilience.
- Ability to translate ambiguous business, product, and customer needs into architectural direction, roadmaps, and executable technical plans.
- Experience leading complex incident response and converting operational learning into lasting platform improvements.
- Ability to influence senior engineers, engineering managers, directors, and cross-functional stakeholders without direct authority.
- Track record of creating reusable technical capabilities and driving adoption across multiple engineering teams.
- Strong written and verbal communication skills for technical, executive, product, and customer-facing audiences.
- Experience mentoring senior and principal engineers and raising organizational technical and architectural capabilities.
- Experience with microVMs, gVisor, WebAssembly, vector databases, retrieval-augmented generation, graph data systems, automated evaluation frameworks, or developer platform APIs is beneficial but not required.
Benefits
- Flexible choice to work from an office, home, or a combination of the two, with this role requiring residence in the United States.
- Health and wellbeing resources.
- Paid volunteer days.
- Potential eligibility for benefits, bonuses, commissions, and equity.
- Employment is available in countries where Atlassian has a legal entity, subject to the role’s United States location requirement.
Categories
About Atlassian
Atlassian powers the collaboration that helps teams accomplish what would otherwise be impossible alone. From space missions and motor racing to bugs in code and IT requests, no task is too large or too small with the right team, the right tools, and the right practices. Over 300,000 global companies and 80% of the Fortune 500 rely on Atlassian’s software, like Jira, Confluence, Loom, and Trello, to help their teams work better together and deliver quality results on time. With our 300,000+ customers and team of 10,000+ Atlassians, we are building the next generation of team collaboration and productivity software. We believe the power of teams has the potential to change the world — one that is more open, authentic, and inclusive.