Kubernetes Platform Architect for AI & Distributed Systems

Work180; San Francisco (CA); Hybrid; USD 180.000 - 280.000; Vollzeit

Zusammenfassung

Atlassian is empowering its workforce to choose where they work—office, home, or a blend—while expanding opportunities to join teams where we have a legal entity. We seek a Principal Engineer with a Deep Engineer archetype in Kubernetes Platform to own complex, high-impact outcomes from problem definition to production.

You will shape architecture and guide technical direction across security, performance, and scalability.

Aufgaben

• Define and deliver the technical strategy for secure, low-latency compute infrastructure for AI agents and untrusted workloads.
• Lead architecture and implementation of isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities.
• Own end-to-end outcomes for ambiguous, cross-team initiatives, from design and prioritisation to launch, adoption, and measurable operational results.
• Advance portable, cloud-native execution across GCP and AWS while balancing platform consistency with regional and workload needs.
• Champion operational excellence for a tier-0 platform: reliability, security, privacy, incident learning, performance, and cost efficiency.
• Improve the developer experience through self-service APIs, automation, paved paths, and clear platform contracts.
• Set direction through written proposals and thoughtful technical decisions; mentor engineers and help grow an inclusive, high-performing team.

Jobbeschreibung

Atlassian is empowering its workforce to choose where they work—office, home, or a blend—while expanding opportunities to join teams where we have a legal entity. We seek a Principal Engineer with a Deep Engineer archetype in Kubernetes Platform to own complex, high-impact outcomes from problem definition to production.

You will shape architecture and guide technical direction across security, performance, and scalability.