ServiceNow
Senior Staff Platform Engineer - Kubernetes - Federal
$172K–$301K
San Diego, CALIFORNIA, United States +1 · Hybrid · Senior Staff · Full-time · Posted Oct 17, 2026
- Location
- San Diego, CALIFORNIA, United States
Santa Clara, CALIFORNIA, United States - Experience
- 12+ years with a Bachelor's degree; OR 8+ years with a Master's degree; OR 5+ years with a PhD; OR equivalent work experience. Also requires 5+ years of hands-on Kubernetes experience.
- Education
- Bachelor's degree, Master's degree, or PhD, according to the stated experience alternatives; OR equivalent work experience.
- Visa sponsorship
- Only US citizens, US naturalized citizens, or US Permanent Residents holding a green card will be considered.
About the job
Designs, builds, and operates cloud-native platform components and services, primarily hands-on Kubernetes infrastructure and automation.
What you'll do
- Take platform features from design through production, leading scoped projects and delivering technical designs.
- Improve reliability, scalability, and operability through testing, instrumentation, runbooks, and on-call participation.
- Collaborate with senior engineers and mentor junior engineers through reviews, design feedback, and pairing.
What they ask for
- 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.
- Knowledge of containers, CI/CD, 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), service mesh, workload identity, mTLS, secrets management, or observability.
Pay
$171,900 - $300,800 USD base salary
Tools
Kubernetes, AWS, Azure, GCP, CI/CD, GitOps, Go, infrastructure-as-code
AI focus
Use or critically assess AI in engineering work, such as AI-powered coding and operational tools, workflow automation, or considering AI's impact on software and infrastructure development.
Model-written summary · the original posting is authoritative