Staff Reliability Engineer

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 get to do in this role:

• Design build and operate cloud-native engineering platforms for software validation release validation and production readiness
• Design and maintain production-like release and test ServiceNow environments that improve release confidence and deployment readiness.
• Build and integrate automated test pipelines observability reliability signals deployment intelligence and quality gates into CI/CD workflows.
• Develop automation solutions that improve engineering productivity streamline operations and reduce manual toil through shift-left engineering practices.
• Build reusable frameworks self-service engineering environments test data management mock services and developer productivity tooling.
• Design and enhance Kubernetes-based platforms supporting scalable test infrastructure release automation cloud-native workloads and developer self-service.
• Implement automated validation for failure detection deployment verification policy enforcement security checks resilience testing and operational health assessments.
• Resolve complex platforms infrastructure and networking challenges through software engineering systems design and automation.
• Partner closely with engineering teams to improve platform reliability release quality cloud-native adoption and engineering best practices.
• Participate in architecture reviews technical design discussions and implementation of scalable automation-first engineering solutions.
• Influence technical decisions through strong engineering execution collaboration and delivery of high-quality platform capabilities.
• Mentor engineers through technical guidance code reviews knowledge sharing and engineering best practices.
• Foster a culture of reliability automation operational excellence continuous improvement and customer-focused engineering.

Qualifications :

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. This may include using AI-powered tools automating workflows analyzing AI-driven insights or exploring AIs potential impact on the function or industry.
• 8 years of experience in Site Reliability Engineering (SRE) DevOps Platform Engineering Software Engineering or Infrastructure Engineering with a Bachelors degree; or 6 years and a Masters degree; or a PhD with 3 years experience; or equivalent experience.
• 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.
• Thrives in fast-paced ambiguous environments with a strong ownership mindset bias for action and a passion for continuous learning and automation.
• Low ego intellectually curious and an effective collaborator who enjoys partnering with globally distributed teams to deliver reliable engineering solutions.

Good to have:

• Experience with observability and monitoring platforms for applications services and distributed systems at scale.
• Experience with DevOps automation CI/CD pipelines GitOps and Agile development practices using tools such as GitLab CI/CD Argo CD or Flux.
• Experience building and maintaining enterprise-scale test automation frameworks using technologies such as Playwright Selenium Cypress REST Assured PyTest JUnit/TestNG or equivalent.
• Experience with test orchestration intelligent regression testing test impact analysis flaky test detection parallel execution and test data management.
• Experience with service virtualization contract testing synthetic testing and building developer self-service engineering platforms.
• Experience with Infrastructure as Code and configuration management tools such as Ansible Terraform or equivalent.
• Experience with the Kubernetes ecosystem including Helm Argo Workflows Kustomize Istio/Linkerd Gateway API/Ingress Prometheus OpenTelemetry and container runtime technologies.
• Experience operating Kubernetes platforms across public cloud providers including AWS (EKS) Azure (AKS) and Google Cloud (GKE).
• Experience implementing progressive delivery practices including canary deployments feature flags deployment verification and automated rollback.
• Familiarity with AI-assisted engineering intelligent testing operational automation or cloud-native engineering platforms.

For positions in this location we offer a base pay of $166500 - $291400 plus equity (when applicable) variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline and individual total compensation will vary based on factors such as qualifications skill level competencies and work location. We also offer health plans including flexible spending accounts a 401(k) Plan with company match ESPP matching donations a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information :

Work Personas

We approach our distributed world of work with flexibility and trust. 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. Learn more here. 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.

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 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 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. 

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Remote Work :

Yes

Employment Type :

Full-time