Senior Software Engineer - Data Platform - Kubernetes - Distributed Systems

ServiceNow•San Diego, CA

11h•$128,900 - $219,100•Hybrid

About The Position

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. 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.

Requirements

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).

Nice To Haves

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.

Responsibilities

Design, build, and operate features and services within the cloud-native platform, delivering 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.