Staff Software Engineer - Data Platform - Kubernetes - Distributed Systems - Federal

Qualifications

• 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.
• 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).
• 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.