ServiceNow
Staff Software Engineer - Data Platform - Kubernetes - Distributed Systems - Federal
$150K–$262K
San Diego, CALIFORNIA, United States +2 · Hybrid · Staff · Full-time · Posted Sep 27, 2026
- Location
- San Diego, CALIFORNIA, United States
Santa Clara, California, United States
Kirkland, Washington, United States - Experience
- 8+ years with a Bachelor's degree; OR 5+ years with a Master's degree; OR 3+ years with a PhD; OR equivalent work experience. Also requires 5+ years of hands-on Kubernetes workload experience.
- Education
- Bachelor's degree, Master's degree, or PhD, with the stated experience alternatives; OR equivalent work experience.
- Visa sponsorship
- Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered.
About the job
Build and operate cloud-native data platform components and services, delivering projects end-to-end with a focus on reliability, scalability, and Kubernetes-based infrastructure.
What you'll do
- Design, build, and operate platform components and services from design through production.
- Lead scoped projects and contribute to reliability, scalability, testing, instrumentation, runbooks, and on-call.
- Build operators, controllers, automation, and platform services; mentor junior engineers through reviews, feedback, and pairing.
What they ask for
- 8+ years of software development experience with a Bachelor's degree; OR 5+ years with a Master's degree; OR 3+ years with a PhD; OR equivalent work experience.
- 5+ years of hands-on experience building, deploying and operating workloads on Kubernetes.
- Working experience with at least one major hyperscaler (AWS, Azure, GCP), including core compute, networking, and IAM primitives.
- Solid working knowledge of containers, CI/CD and GitOps-based delivery, and infrastructure-as-code; strong programming skills in Go or another systems language with willingness to work primarily in Go.
Nice to have
- Experience building Kubernetes controllers or working with the operator pattern; familiarity with container networking (CNI) or service mesh.
- Experience with workload identity, mTLS, secrets management, observability, managed Kubernetes (EKS/AKS/GKE), or Terraform.
Pay
$149,800 - $262,200 USD base salary
Tools
Kubernetes, AWS, Azure, GCP, Go, CI/CD, GitOps, Terraform
AI focus
Leverage or critically consider AI integration in engineering work, such as AI-powered coding and operational tooling, workflow automation, or reasoning about AI's impact on software and infrastructure.
Model-written summary · the original posting is authoritative