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Salary: CAD 109,400 - 191,500 / annual
ServiceNow is seeking a Staff Site Reliability Engineer to join its SRE team in Toronto. This is a high-impact individual contributor role focused on setting technical direction for reliability and release quality across multiple engineering teams.
In this role, you will design, build, and operate cloud-native engineering platforms for software validation, release validation, and production readiness. You'll architect and maintain production-like release and test environments, build automated test pipelines with observability and quality gates integrated into CI/CD workflows, and reduce manual toil through automation and shift-left practices. You'll design and enhance Kubernetes-based platforms for test infrastructure, release automation, and developer self-service, implement automated checks for failure detection and deployment verification, and resolve complex platform, infrastructure, and networking challenges.
Beyond hands-on technical work, you'll lead architecture reviews and design discussions, drive projects independently across teams, and mentor engineers through code reviews and knowledge sharing. You'll promote a culture of reliability, automation, and operational excellence across the organization.
ServiceNow's SRE team operates globally distributed cloud infrastructure at scale, supporting 85% of the Fortune 500. The role offers the opportunity to shape how the company validates, releases, and operates software at enterprise scale.
IMPORTANT: This position requires successful completion of a Government of Canada Reliability Status screening as a condition of employment, which requires 5 years of verifiable background history including identity verification, education verification, criminal record check, and credit check. Candidates must be eligible to obtain and maintain Reliability Status, which generally requires Canadian citizenship or Canadian permanent resident status.
REQUIREMENTS:
- 8+ years of experience in SRE, DevOps, platform, software, or infrastructure engineering (with Bachelor's degree), OR 6+ years with Master's degree, OR PhD with 3+ years experience, or equivalent
- 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 strong ownership mindset
- Experience leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving
PREFERRED QUALIFICATIONS:
- Observability and monitoring platforms at scale (Grafana, VictoriaMetrics)
- DevOps and GitOps tools (GitLab CI/CD, Argo CD, Flux)
- Test automation frameworks (Playwright, Selenium, Cypress, REST Assured, PyTest, JUnit/TestNG)
- Test orchestration, flaky test detection, and test data management
- Service virtualization, contract testing, and synthetic testing
- Infrastructure as Code (Terraform, Ansible)
- Kubernetes ecosystem tools (Helm, Istio/Linkerd, Prometheus, OpenTelemetry)
- Managed Kubernetes on AWS (EKS), Azure (AKS), or Google Cloud (GKE)
- AI-assisted engineering, intelligent testing, or operational automation
