Sr Software Engineer - Cloud Platform—Kubernetes Development

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

Responsibilities

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.

Requirements

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.; 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.