Staff Site Reliability Engineer

• Engineering, Infrastructure and Operations
• Toronto, Canada
• Flexible or Remote

About the Position

We are looking for a Staff Site Reliability Engineer to join our team in Toronto, Canada. This role offers a flexible or remote work arrangement and is part of our commitment to building an AI-native culture where technology and talent are unstoppable together.

About the Team

The ServiceNow SRE team is a group of highly technical engineers responsible for maintaining and improving the reliability, scalability, and performance of ServiceNow's cloud infrastructure. You'll design and operate cloud-native platforms for software validation, release validation, and production readiness, and partner with globally distributed engineering teams.

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.

Nice to Have

• 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.

We Offer

• Base pay of $109,400 - $191,500, plus equity (when applicable), variable/incentive compensation, and benefits.
• Health plans, including flexible spending accounts, ESPP, matching donations, a flexible time away plan, and family leave programs.
• Competitive On Target Earnings (OTE) incentive compensation structure for sales positions.

About the Company

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, 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. And we're just getting started.

Join us to put AI to work for people.

Equal Opportunity Employer

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.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.