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About the Role
As a Staff SRE, you'll set the technical direction for reliability and release quality across multiple teams. You'll build the platforms and automation that let engineers ship safely at scale, shape architecture decisions, and raise the bar for operational excellence through hands-on work and mentorship.
Responsibilities
- Design, build, and operate cloud-native engineering platforms for software validation, release validation, and production readiness.
- Design and maintain production-like release and test environments.
- Build automated test pipelines, observability, and quality gates into CI/CD workflows.
- Reduce manual toil through automation and shift-left practices.
- Build reusable frameworks, self-service environments, test data management, and mock services.
- Design and enhance Kubernetes-based platforms for test infrastructure, release automation, and developer self-service.
- Implement automated checks for failure detection, deployment verification, policy enforcement, security, and resilience.
- Resolve complex platform, infrastructure, and networking challenges.
- Lead architecture reviews and design discussions, and drive projects independently across teams.
- Mentor engineers through code reviews, guidance, and knowledge sharing.
- Promote a culture of reliability, automation, and operational excellence.
Requirements
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
- 8+ years of experience in SRE, DevOps, platform, software, 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.
- Hands-on Kubernetes experience across cluster operations, networking, storage, security, autoscaling, and multi-cluster environments.
- Experience building and operating highly available cloud-native platforms.
- Experience integrating Kubernetes with CI/CD, GitOps, automated test pipelines, and deployment validation.
- Experience with progressive delivery, including canary deployments, feature flags, and automated rollback.
- Experience with chaos engineering, resilience testing, and disaster recovery.
- Strong software engineering skills in Python, Go, Java, or Ruby.
- Solid understanding of observability, SLIs/SLOs, incident management, and distributed systems operations.
- Ability to drive projects independently and thrive in fast-paced, ambiguous environments, with a strong ownership mindset.
- Experience integrating AI into work processes, decision-making, or problem-solving.
Skills
- Observability and monitoring platforms at scale, including Grafana and VictoriaMetrics.
- DevOps and GitOps tools such as GitLab CI/CD, Argo CD, or Flux.
- Test automation frameworks such as Playwright, Selenium, Cypress, REST Assured, PyTest, or JUnit/TestNG.
- Test orchestration, flaky test detection, and test data management.
- Service virtualization, contract testing, and synthetic testing.
- Infrastructure as Code with Terraform or Ansible.
- Kubernetes ecosystem tools such as Helm, Istio/Linkerd, Prometheus, and OpenTelemetry.
- Managed Kubernetes on AWS (EKS), Azure (AKS), or Google Cloud (GKE).
- AI-assisted engineering, intelligent testing, or operational automation.
Location
- AMS - North America and Canada
Work Type
- Flexible or Remote
Experience Level
- 8+ years of experience in SRE, DevOps, platform, software, or infrastructure engineering
Education Level
- Bachelor's degree or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience.
Salary/Compensations
- $109,400 - $191,500
Benefits
- Equity (when applicable)
- Variable/incentive compensation
- Health plans, including flexible spending accounts
- ESPP
- Matching donations
- A flexible time away plan
- Family leave programs
About the Company
- ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together.
Equal Opportunity
- ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.