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Senior Staff Platform Engineer - Kubernetes - Federal

ServiceNow - San Diego, CA, USA - Hybrid - posted 2026-10-17

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Salary: USD 171,900 - 300,800 / annual

ServiceNow is seeking a Senior Staff Platform Engineer to design and implement features and services within its cloud-native platform, supporting US Regulated Markets. This is a hybrid role requiring 2 days per week in a ServiceNow office (locations include San Francisco, Pleasanton, Santa Clara, San Diego, or Kirkland). In this role, you will: - Design, build, and operate components and services within the cloud-native platform, taking features from design through production - Lead well-scoped projects within your team, translating requirements and rough ideas into solid technical designs and delivering them - Collaborate with senior, staff, and principal engineers to align work with platform architecture and standards - Contribute to reliability, scalability, and operability through testing, instrumentation, runbooks, and on-call participation - Spend most of your time hands-on building operators, controllers, automation, and platform services that other teams depend on - Help onboard and mentor junior engineers through code review, design feedback, and pairing This position requires passing a ServiceNow background screening (USFedPASS), including credit check, criminal/misdemeanor check, and drug test. Due to federal requirements, only US citizens, US naturalized citizens, or US Permanent Residents holding a green card will be considered. Requirements: - Experience leveraging or critically thinking about how to integrate AI into engineering work (AI-powered coding/operational tooling, workflow automation, or reasoning about how AI changes software and infrastructure development) - 12+ years of software development experience with a Bachelor's degree; OR 8+ years with a Master's degree; OR 5+ 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 - Track record of delivering complex features or services as a key contributor - Solid working 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) or service mesh - Experience with workload identity, mTLS, or secrets management - Experience with observability (metrics, tracing, dashboards)

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