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

About the role

As a Senior Software Engineer on the Data Platform team, you will design, build, and operate cloud‑native platform features and services, break work into tasks, collaborate with senior engineers, ensure reliability and scalability, write tests and instrumentation, participate in on‑call, and mentor junior engineers.

About the company

ServiceNow builds an AI‑native platform that acts as a control tower for business reinvention, integrating any AI, data, and workflow to help the majority of Fortune 500 companies work smarter, faster, and better, with a culture focused on freeing people from busywork.

Requirements

• Experience integrating AI into engineering work, such as AI‑powered coding, operational tooling, workflow automation, or assessing AI’s impact on software and infrastructure.
• 5+ years software development with a Bachelor’s degree, or 3+ years with a Master’s, or PhD without experience, or equivalent work experience.
• Hands‑on experience building production software and deploying/operating workloads on Kubernetes.
• Experience with at least one major hyperscaler (AWS, Azure, or GCP) and its core compute and networking primitives.
• Proven track record of reliably delivering features and improvements as part of an engineering team.
• Working knowledge of containers, CI/CD pipelines, and Git‑based development workflows.
• Strong programming skills in Go or another systems language with willingness to work primarily in Go.
• Experience running workloads on managed Kubernetes (EKS/AKS/GKE).
• Familiarity with GitOps delivery and infrastructure‑as‑code tools such as Terraform.
• Exposure to observability tooling including metrics, logging, and dashboards.
• Familiarity with networking and security fundamentals such as DNS, TLS, and IAM.
• Experience participating in an on‑call rotation.