Senior Staff Software Engineer – SRE, Release & Test Platforms

ServiceNow; California (MO); On-site; USD 180,000 - 270,000; Full time

Benefits offered by this job

Health plans

401(k) Plan with company match

ESPP

Matching donations

Flexible time away plan

Family leave programs

Job summary

ServiceNow is seeking a senior Platform Reliability Engineer to build cloud-native reliability and release platforms, aligning AI-driven automation with developer productivity and high-confidence releases.

You will design and operate large-scale Kubernetes-based platforms, integrate CI/CD and GitOps, and lead engineering excellence across teams to improve release confidence and operational readiness.

Qualifications

• 12+ years in software, systems, platform, or reliability engineering with degree or equivalent.
• Deep Kubernetes expertise across architecture, operations, networking, storage, and security.
• Experience building large-scale Kubernetes platforms for cloud-native services.
• Experience integrating Kubernetes with CI/CD, GitOps, automated testing, and validation.
• Experience designing cloud-native platforms for episodic environments and release qualifications.
• Proven ability to lead engineering excellence across developer productivity and modernization.

Responsibilities

• Build and operate cloud-native engineering platforms for software validation, release qualification, and operational readiness.
• Design production-like release and test environments to improve release confidence.
• Develop automated quality gates to assess release health and production readiness.

Skills

Leadership

Cross-team collaboration

Observability

Reliability engineering

Problem-solving

Education

Bachelor's degree

Master's degree

PhD

Tools

Kubernetes

CI/CD

GitOps

Python

Go

Java

Ruby

Job description

Role Overview

Join us to build the next generation of cloud-native reliability, release, and test platforms that enable engineering excellence, developer productivity, and high-confidence ServiceNow releases through automation, observability, and AI-driven operations. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

What You Will Do

Build and operate cloud-native engineering platforms for software validation, release qualification, and operational readiness.

Design production-like release and test environments that improve release confidence and deployment readiness.

Develop automated quality gates to assess release health, operational risk, and production readiness.

Why It Might Be a Fit

To be successful in this role you have:

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.

Requirements

• 12+ years of experience in software, systems, platform, or reliability engineering with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 5 years experience; or equivalent experience.
• Deep Kubernetes expertise across architecture, operations, networking, storage, security, autoscaling, and multi-cluster environments.
• Experience building and operating large-scale Kubernetes platforms for cloud-native, mission-critical services.
• Experience integrating Kubernetes with CI/CD, GitOps, automated testing, and deployment validation.
• Experience designing cloud-native platforms for episodic environments, release qualifications, and automated validation.
• Proven ability to lead engineering excellence across developer productivity, platform engineering, release confidence, and modernization.
• Experience with progressive delivery, including canary releases, feature flags, automated rollback, and deployment verification.
• Experience with chaos engineering, resilience validation, disaster recovery, and reliability assessments.
• Expertise designing, authoring, testing, and debugging code in a team setting using languages such as Python, Go, Java, or Ruby.
• Experience using AI-assisted engineering for intelligent testing, release risk analysis, incident diagnostics, and operational automation.
• Strong coding, observability, SLO, and cross-team collaboration skills to improve reliability, performance, and engineering standards.

Benefits

Health plans, including flexible spending accounts401(k) Plan with company matchESPPMatching donationsFlexible time away planFamily leave programs