Kubernetes Platform Engineer - End-to-End AI Cloud

Confidential; United States; Remote; USD 170,000 - 250,000; Full time

Job summary

Confidential in the United States is building a managed Kubernetes platform for AI cloud infrastructure. We seek software engineers who will own components end to end, from design to production, and contribute to reliability, observability, and performance.

You will work across infrastructure, inference, networking and security teams to ship API, controllers, operators and automation that extend Kubernetes, diagnose production issues, and help scale our data center compute.

Qualifications

• Software engineering experience on production systems.
• Solid distributed systems fundamentals and comfort with CI/CD and observability.

Responsibilities

• Own components end to end from design to production.
• Collaborate with infrastructure, inference, networking, and security teams.
• Build APIs, controllers, operators, and automation that extend Kubernetes.
• Diagnose production issues across application, Kubernetes, network, and compute layers.

Skills

Production systems

Distributed systems

Observability

Team collaboration

Tools

Kubernetes

CRDs

CI/CD

Observability tooling

Job description

Confidential in the United States is building a managed Kubernetes platform for AI cloud infrastructure. We seek software engineers who will own components end to end, from design to production, and contribute to reliability, observability, and performance.

You will work across infrastructure, inference, networking and security teams to ship API, controllers, operators and automation that extend Kubernetes, diagnose production issues, and help scale our data center compute.