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Salary: USD 190,900 - 334,100 / annual
ServiceNow is seeking a Senior Staff Platform Engineer to design and implement features and services within its cloud-native platform. This is a hybrid role requiring 2 days per week in a ServiceNow office (locations include San Francisco, Pleasanton, Santa Clara, San Diego, CA, or Kirkland, WA).
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 supports US Regulated Markets and requires passing a ServiceNow background screening including USFedPASS (US Federal Personnel Authorization Screening Standards), 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.
Qualifications:
- 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)
- 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 software and infrastructure development
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)
