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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 located in San Francisco, Pleasanton, Santa Clara, San Diego (all 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, turning 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 USFedPASS (US Federal Personnel Authorization Screening Standards), 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.
QUALIFICATIONS:
Required:
- 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
- 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)
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, and dashboards
- Experience with managed Kubernetes (EKS/AKS/GKE) and infrastructure-as-code tools such as Terraform
