Staff Software Engineer - Data Platform

ServiceNow•Kirkland, WA

About The Position

ServiceNow is seeking a Staff Software Engineer to join its Data Platform Engineering organization and support US Regulated Markets. This is a hands-on role owning well-scoped components and projects and delivering them end-to-end. The engineer designs, builds, and operates cloud-native platform components and services, taking features from design through production. They turn requirements and early ideas into technical designs, lead scoped team projects, and align their work with platform architecture and standards in collaboration with senior, staff, and principal engineers. The role focuses on building operators, controllers, automation, and platform services relied on by other teams, while improving reliability, scalability, and operability through testing, instrumentation, runbooks, and on-call participation. The engineer also helps onboard and mentor junior engineers through code review, design feedback, and pairing. The position requires passing ServiceNow's USFedPASS background screening, including credit and criminal/misdemeanor checks and a drug test. Due to federal requirements, applicants must be US citizens, naturalized US citizens, or US permanent residents holding a green card. Experience integrating AI into engineering work is also expected, such as using AI-powered coding or operational tools, automating workflows, or considering AI's impact on software and infrastructure development.

Requirements

  • Experience leveraging or critically considering how to integrate AI into engineering work, such as through AI-powered coding and operational tooling, workflow automation, or reasoning about AI's effect on 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, or 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, GitOps-based delivery, and infrastructure-as-code.
  • Strong programming skills in Go, or another systems language with willingness to work primarily in Go.
  • Must pass the ServiceNow USFedPASS background screening, including a credit check, criminal/misdemeanor check, and drug test.
  • Must be a US citizen, naturalized US citizen, or US permanent resident holding a green card.

Nice To Haves

  • 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, including metrics, tracing, and dashboards.
  • Experience with managed Kubernetes (EKS/AKS/GKE) and infrastructure-as-code tools such as Terraform.

Responsibilities

  • Design, build, and operate cloud-native platform components and services, taking features from design through production.
  • Lead well-scoped projects within the team, translating requirements and rough ideas into technical designs and delivering the work.
  • Collaborate with senior, staff, and principal engineers to align work with platform architecture and standards.
  • Contribute to the reliability, scalability, and operability of platform components by writing tests and instrumentation, improving runbooks, and participating in on-call.
  • Build operators, controllers, automation, and platform services used by other teams.
  • Help onboard and mentor junior engineers through code review, design feedback, and pairing.

Benefits

  • Health plans
  • Flexible spending accounts
  • 401(k) plan with company match
  • Employee stock purchase plan (ESPP)
  • Matching donations
  • Flexible time away plan
  • Family leave programs
  • Equity when applicable
  • Variable/incentive compensation
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