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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; the company has offices in San Francisco, Pleasanton, Santa Clara, San Diego, and Kirkland.
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 your work with the platform's architecture and standards
• Contribute to the reliability, scalability, and operability of what you build—writing tests and instrumentation, improving runbooks, and participating in on-call
• 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 a 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—whether using AI-powered coding and operational tooling, automating workflows, or reasoning about how AI changes the way software and infrastructure are built
• 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 its 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 and GitOps-based delivery, and infrastructure-as-code
• Strong programming skills in Go (or another systems language with a 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, and dashboards
• Experience with managed Kubernetes (EKS/AKS/GKE) and infrastructure-as-code tools such as Terraform
