Software Engineer (Kubernetes) (Fully Remote)

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

• Build APIs, controllers, operators, and automation that extend Kubernetes.
• Improve platform reliability, observability, and performance.
• Diagnose production issues across application, Kubernetes, network, and compute layers.

What you bring:

• Software engineering experience on production systems.
• Hands-on Kubernetes with controllers, operators, CRDs, and cluster lifecycle.
• Solid distributed systems fundamentals and comfort with CI/CD and observability.

The role:

• Early on a managed Kubernetes platform for AI cloud infrastructure.
• Own components end to end from design to production.
• Collaborate with infrastructure, inference, networking, and security teams.

Confidential

They are a late-stage AI cloud company backed by NVIDIA that runs AI compute from global data centers and is building a managed Kubernetes platform. The company is valued in the billions, and the culture emphasizes early ownership and end-to-end impact.