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About the Role
As a Principal Engineer with Deep Engineer archetype in Kubernetes Platform, you will own technically complex, high-impact outcomes from problem definition through production. You will bring deep expertise in agent infrastructure and distributed systems to shape the platform’s architecture and technical direction. You’ll make sound trade-offs across security, isolation, performance, scalability, portability, cost, and developer experience, while remaining close to the code and operational reality. You will influence across teams and geographies, partner with product and engineering leaders, and raise the effectiveness of engineers through coaching, design leadership, and practical engineering standards. Success will be measured by sustained outcomes—not activity—including safer workloads, faster iteration, reliable services, and leverage across Atlassian.
Responsibilities
- 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.
Requirements
- Deep expertise in agent infrastructure and distributed systems.
- Ability to make sound trade-offs across security, isolation, performance, scalability, portability, cost, and developer experience.
- Ability to remain close to the code and operational reality.
- Ability to influence across teams and geographies.
- Ability to partner with product and engineering leaders.
- Ability to raise the effectiveness of engineers through coaching, design leadership, and practical engineering standards.
- Experience with GCP and AWS.
Skills
- Kubernetes Platform
- Agent infrastructure
- Distributed systems
- Security
- Isolation
- Performance
- Scalability
- Portability
- Cost efficiency
- Developer experience
- Cloud-native execution
- GCP
- AWS
- Reliability
- Privacy
- Incident learning
- Self-service APIs
- Automation
- Platform contracts
Location
- United States
Work Type
- Office
- Home
- Combination of office and home
Experience Level
- Principal Engineer
- Deep Engineer archetype
Salary/Compensations
- Zone A: $209,700 - $273,775
- Zone B: $188,730 - $246,398
- Zone C: $174,051 - $227,233
Benefits
- Health and wellbeing resources
- Paid volunteer days
About the Company
- At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
Equal Opportunity
- We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
- We can support with accommodations or adjustments at any stage of the recruitment process.
- Identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.