Senior Staff Platform Engineer (Kubernetes - Federal)

Join our team as a Senior Staff Platform Engineer, where you will design and implement features and services within our cloud-native platform. You will lead projects, collaborate with senior engineers, and contribute to the reliability and scalability of our platform. This position requires extensive experience in software development, Kubernetes, and cloud infrastructure.

Responsibilities

• Design, build, and operate components and services within the cloud-native platform, taking features from design through to 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, and contribute to the reliability, scalability, and operability of what you build.
• 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

Requirements

• 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
• A track record of delivering complex features or services as a key contributor
• 5+ years of hands-on experience building, deploying and operating workloads on Kubernetes
• Strong programming skills in Go (or another systems language with a willingness to work primarily in Go)
• Solid working knowledge of containers, CI/CD and GitOps-based delivery, and infrastructure-as-code
• Working experience with at least one major hyperscaler (AWS, Azure, GCP), including its core compute, networking, and IAM primitives
• 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
• Experience building Kubernetes controllers or working with the operator pattern

Preferred

• Familiarity with container networking (CNI) or service mesh
• Experience with workload identity, mTLS, or secrets management
• Experience with observability — metrics, tracing, and dashboards

Pay

USD 190,900 - 334,100