Staff Reliability Engineer, ServiceNow
$166.5-291.4k
Plus equity (when applicable) and variable/incentive compensation
Cloud-based digital workflows for enterprises
Be an early applicant
Cloud-based digital workflows for enterprises
1001+ employees
Be an early applicant
$166.5-291.4k
Plus equity (when applicable) and variable/incentive compensation
1001+ employees
Company mission
To transform IT to revolutionize the enterprise.
Role
Who you are
- 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 Site Reliability Engineering (SRE), DevOps, Platform Engineering, Software Engineering, 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 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
Desirable
- 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
What the job involves
- 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
Our take
ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations, transforming old, manual ways of working into modern digital workflows. The company was founded in 2004 with a vision to build a cloud-based platform that would enable regular people to route work effectively through the enterprise.
Much as Salesforce enables a company to manage its external clients by keeping a record of all contacts and interactions, ServiceNow promises an internal system to meet the needs of employees. It has succeeded in claiming half the market, setting itself apart from legacy IT service-management software players like BMC Software, Hewlett Packard Enterprise, Cherwell Software and CA Technologies.
The company's success comes from two product traits: simplicity and customisability. ServiceNow's IT tools don't require the IT department to set them up. Once running, they offer a single collection centre for requests, data points and checklists, all of which can in turn be analysed by algorithms to predict needs, flag concerns and measure efficiency.
The company has more than 7,700 customers, including 85% of the Fortune 500 list of the United States' largest corporations. ServiceNow now looks to increase its revenue threefold in the upcoming years and has entered into a 5-year partnership plan with Visa, beginning with the launch of a Visa-integrated dispute resolution solution for issuers. The company is prioritising organic growth over mergers and acquisitions, with a target revenue of $15B, something which its Visa partnership will no doubt aid in achieving.
Freddie
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Mar 2012
$11m
GROWTH EQUITY VC
Feb 2012
$17.9m
GROWTH EQUITY VC
Total funding: $83.8m
Company benefits
- Generous family leave
- Matched donations
- Annual learning stipends
- Flexible PTO
- Competitive retirement plan
- Paid volunteer time
Company HQ
Santa Clara, CA
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