Staff Reliability Engineer

ServiceNow; California (MO); On-site; USD 167,000 - 291,000; Full time

Benefits offered by this job

Equity

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 SRE/Platform Engineer to design and operate cloud-native platforms for software validation, release validation, and production readiness. You will build automated test pipelines, observability signals, and quality gates integrated into CI/CD workflows.

Ideal candidates have 8+ years in SRE/DevOps or related fields, with hands-on Kubernetes expertise, and strong software engineering skills across Python, Go, Java, or Ruby.

Qualifications

• 8+ years of experience in SRE/DevOps/Platform/Infra engineering
• Hands-on Kubernetes across cluster operations
• Experience building cloud-native platforms
• CI/CD integration with Kubernetes & cloud-native workflows
• Automation to improve productivity & release quality
• Progressive delivery, canary, feature flags, automated rollback
• Chaos engineering and resilience testing
• Strong software engineering skills (Python/Go/Java/Ruby)
• AI-assisted engineering experience is a plus
• Observability, SLOs/SLIs, incident management
• Ability to lead projects and collaborate across teams

Responsibilities

• Design, build, and operate cloud-native platforms for validation and production readiness
• Create automated test pipelines, observability, and quality gates in CI/CD
• Develop deployment intelligence and reliability signals
• Collaborate with engineering teams to improve release quality and efficiency

Skills

Python

Go

Java

Ruby

Automation

Observability

AI-assisted engineering

Distributed systems

Education

Bachelor's degree in Computer Science or related field

Master's degree

PhD (with relevant experience)

Tools

Kubernetes

CI/CD

GitOps

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.

What You Will Do

Design, build, and operate cloud-native engineering platforms for software validation, release validation, and production readiness. Build and integrate automated test pipelines, observability, reliability signals, deployment intelligence, and quality gates into CI/CD workflows.

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. You have 8+ years of experience in Site Reliability Engineering (SRE), DevOps, Platform Engineering, Software Engineering, or Infrastructure Engineering with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience.

Requirements

• 8+ years of experience in Site Reliability Engineering (SRE), DevOps, Platform Engineering, Software Engineering, or Infrastructure Engineering
• Hands-on experience with Kubernetes across cluster operations, networking, storage, security, autoscaling, and multi-cluster environments
• Experience building and operating cloud-native platforms supporting scalable, highly available services
• Experience integrating Kubernetes with CI/CD, GitOps, automated test pipelines, deployment validation, and cloud-native deployment workflows
• Experience designing and implementing automation to improve developer productivity, release quality, and operational efficiency
• Experience with progressive delivery practices, including canary deployments, feature flags, automated rollback, and deployment verification
• Experience with chaos engineering, resilience testing, disaster recovery, and reliability validation
• Strong software engineering skills with hands-on experience designing, developing, testing, and debugging applications using Python, Go, Java, or Ruby
• Experience leveraging AI-assisted engineering for intelligent testing, release risk analysis, incident diagnostics, or operational automation is a plus
• Strong understanding of observability, monitoring, SLI/SLOs, incident management, and production operations for distributed systems
• Demonstrated ability to solve complex technical problems, drive projects independently, and collaborate effectively across engineering teams

Benefits

• base pay of $166,500 - $291,400
• equity
• variable/incentive compensation
• health plans, including flexible spending accounts
• 401(k) Plan with company match
• ESPP
• matching donations
• flexible time away plan
• family leave programs