Senior Software Engineer, Data Platform, Kubernetes, Federal

About the role

This is a Flexible (Hybrid) position requiring 2 days per week in a ServiceNow office location. Positions in this location offer a base pay of $128,900 - $219,100, plus equity (when applicable), variable/incentive compensation and benefits.

Responsibilities

• Design, build, and operate features and services within the cloud-native platform
• Deliver well-defined work from implementation through to production with limited guidance
• Break features down into clear, executable tasks and deliver them iteratively, raising risks and trade-offs as you find them
• Collaborate with staff and senior engineers to align your work with the team’s designs and the platform’s standards
• Contribute to the reliability, scalability, and operability of what you build — writing tests and instrumentation, improving runbooks, and participating in on-call
• Spend nearly all of your time hands-on building — automation, tooling, and platform services that other teams depend on
• Support junior engineers through code review, pairing, and sharing what you learn

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
• Hands-on experience building production software, with exposure to deploying and operating workloads on Kubernetes
• Some hands-on experience with at least one major hyperscaler (AWS, Azure, GCP) and its core compute and networking primitives
• A track record of reliably delivering features and improvements as a productive member of an engineering team
• Working knowledge of containers, CI/CD pipelines, and Git-based development workflows
• Good programming skills in Go (or another systems language with a willingness to work primarily in Go)

It Also Helps If You Have Experience

• Running workloads on managed Kubernetes (EKS/AKS/GKE)
• Familiarity with GitOps-based delivery and infrastructure-as-code tools such as Terraform
• Exposure to observability tooling — metrics, logging, and dashboards
• Familiarity with networking and security fundamentals — DNS, TLS, and IAM
• Experience participating in an on-call rotation