Senior Software Engineer - Data Platform - 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 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 features and services within the cloud-native platform, delivering well-defined work from implementation through to production with limited guidance.
• You will break features down into clear, executable tasks and deliver them iteratively, raising risks and trade-offs as you find them.
• You will collaborate with staff and senior engineers to align your work with the team’s designs and the platform’s 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 nearly all of your time hands-on building — automation, tooling, and platform services that other teams depend on.
• You will support junior engineers through code review, pairing, and sharing what you learn.

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.
• 5+ years of software development experience with a Bachelor's degree; OR 3+ years with a Master's degree; OR a PhD without experience; OR equivalent work experience.
• 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.

For positions in this location, we offer a base pay of $128,900 - $219,100, 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 the geographic location in which the role is located and is subject to change based on work location.