Senior Staff Platform Engineer - Kubernetes - Federal

Position Location: This is a  Flexible (Hybrid)  position.   Flexible  positions require 2 days per week in a ServiceNow office location.  We have offices in several locations, including San Francisco, CA; Pleasanton, CA; Santa Clara, CA; San Diego, CA; and Kirkland, WA Please Note:    This position will include supporting our US Regulated Markets. “This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening.   Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered. About the team: As a Senior Staff Software Engineer with the Data Platform organization, you will be responsible for designing and implementing features and services within our cloud-native platform. What you get to do in this role: • You will design, build, and operate components and services within the cloud-native platform, taking features from design through to production. • You will lead well-scoped projects within your team, turning requirements and rough ideas into solid technical designs and delivering them. • You will collaborate with senior, staff, and principal engineers to align your work with the platform’s architecture and standards. • You will contribute to the reliability, scalability, and operability of what you build — writing tests and instrumentation, improving runbooks, and participating in on-call. • You will spend most of your time hands-on building — operators, controllers, automation, and platform services that other teams depend on. • You will help onboard and mentor junior engineers through code review, design feedback, and pairing. To be successful in this role you have: • 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. • 12+ years of software development experience with a Bachelor's degree; OR 8+ years with a Master's degree; OR 5+ 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. • A 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). It also helps if you 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. For positions in this location, we offer a base pay of $190,900 - $334,100 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on