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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 a ServiceNow office; offices are available in San Francisco, Pleasanton, Santa Clara, San Diego, CA, and Kirkland, WA.
You will be a strong hands-on contributor owning well-scoped components and projects within the team, delivering them end-to-end. Your responsibilities include:
- 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, runbook improvements, and on-call participation
- Spend most 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
The role 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, US naturalized citizens, or US Permanent Residents holding a green card will be considered.
Qualifications:
- 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 qualifications:
- 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
