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. Join us to put AI to work for people. Thisincludes identity verification, educationverification, a criminal record check, andacredit check.
Candidates must be eligible to obtain and maintain Reliability Status, which generally requires Canadian citizenship or Canadian permanent resident status. 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. 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. 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. Promote a culture of reliability, automation, and operational excellence. 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. ~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; 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 rapid-paced, ambiguous environments, with a strong ownership mindset. ~ Experience integrating AI into work processes, decision-making, or problem-solving. 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. Managed Kubernetes on AWS (EKS), Azure (AKS), or Google Cloud (GKE). AI-assisted engineering, intelligent testing, or operational automation. For positions in this location,

we offer
a base pay of $109,400
- $191,500, plus equity (when applicable), variable/incentive compensation and benefits. We also offer health plans, including flexible spending accounts, ESPP, matching donations, a flexible time away plan and family leave programs. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. ServiceNow is an equal opportunity employe

📌 Site Reliability Engineer, Cloud Networking (Canada)
🏢 ServiceNow
📍 Canada