Sr Software Engineer - Cloud Platform—Kubernetes Development

What you get to do in this role:

• You will design, build, and operate components of our Kubernetes platform and its core subsystems, owning a well-scoped area end to end.
• You will write and review a lot of Go—controllers, operators, platform services, and the automation around them.
• You will take a defined problem with open design questions and drive it to a working, production-ready answer, checking in on direction rather than needing it handed to you.
• You will help operate what the team builds: on-call, incident investigation, and the follow-up work that stops the same failure twice.
• You will contribute to how workloads run on the platform, working with the teams that depend on it.
• You will work on a platform that serves regulated markets, where compliance constraints including FedRAMP shape design choices.

To be successful in this role you have:

• Experience leveraging or critically thinking about how to integrate AI into engineering work — whether using AI-powered coding and operational tooling, automating workflows, or reasoning about how AI changes the way software and infrastructure are built.
• Already built and shipped Kubernetes infrastructure or platform components in production. A smaller scope than a whole platform is fine, but it needs to be something you designed and owned, not something you configured or consumed.
• 5+ years building production software, with real experience running workloads on Kubernetes and debugging them when they misbehave.
• Solid programming skills in Go, or strong systems-language skills and a clear willingness to work primarily in Go.
• Working experience with at least one major hyperscaler (AWS, Azure, GCP), including its core compute, networking, and IAM primitives.
• Comfort with containers, CI/CD and GitOps-based delivery, and infrastructure-as-code.
• Curiosity about how AI changes platform engineering—using AI-powered tooling, automating operational work, or thinking about what it means for how infrastructure is built and run.

It also helps if you have:

• Experience building Kubernetes controllers or operators with the operator pattern.
• Exposure to container networking (CNI), service mesh, or workload identity and mTLS.
• Experience with secrets management, certificate lifecycle, or similar core platform subsystems.
• Experience with observability tooling—metrics, tracing, and SLOs.
• Experience with managed Kubernetes (EKS/AKS/GKE), Terraform, or Crossplane.