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Salary: USD 149,800 - 262,200 / annual
ServiceNow is seeking a Staff Software Engineer (IC4 level) to join the Data Platform Engineering organization. This is a hybrid role requiring 2 days per week in office at one of ServiceNow's California or Washington locations (San Francisco, Pleasanton, Santa Clara, San Diego, or Kirkland).
In this role, you will design, build, and operate cloud-native platform components and services, taking features from design through production. You will lead well-scoped projects within your team, translating requirements and rough ideas into solid technical designs and delivering them end-to-end. You'll collaborate with senior, staff, and principal engineers to ensure alignment with platform architecture and standards.
You will spend most of your time hands-on building operators, controllers, automation, and platform services that other teams depend on. You'll contribute to the reliability, scalability, and operability of your work through testing, instrumentation, improved runbooks, and on-call participation. You will also help onboard and mentor junior engineers through code review, design feedback, and pairing sessions.
This position supports US Regulated Markets and requires passing USFedPASS (US Federal Personnel Authorization Screening Standards), including background check, credit check, criminal/misdemeanor check, and drug test. Due to federal requirements, only US citizens, naturalized US citizens, or US Permanent Residents (green card holders) will be considered.
QUALIFICATIONS:
Required:
- 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
- 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
Preferred:
- 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)
- Experience with managed Kubernetes (EKS/AKS/GKE) and infrastructure-as-code tools such as Terraform
