{"id":3376583,"url":"https://alion.io/job/servicenow-senior-reliability-engineer-3","title":"Senior Reliability Engineer","company":{"id":97,"name":"ServiceNow","domain":"servicenow.com","url":"https://alion.io/company/servicenow","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":37,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":146200,"max":255900,"currency":"USD","period":"year","gross":null,"usd_annual":255900},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Chaos Engineering","optional":false},{"name":"CI/CD","optional":false},{"name":"GitOps","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Progressive Delivery","optional":false},{"name":"Python","optional":false},{"name":"Ruby","optional":false},{"name":"ServiceNow","optional":false},{"name":"Shift-Left Security","optional":false},{"name":"Agile","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Ansible","optional":true},{"name":"Argo Workflows","optional":true},{"name":"ArgoCD","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Azure AKS","optional":true},{"name":"Configuration Management","optional":true},{"name":"Cypress","optional":true},{"name":"Gateway API","optional":true},{"name":"GCP","optional":true},{"name":"GitLab CI","optional":true},{"name":"Google GKE","optional":true},{"name":"Helm","optional":true},{"name":"Incident Management","optional":true},{"name":"Istio","optional":true},{"name":"JUnit","optional":true},{"name":"Kustomize","optional":true},{"name":"Linkerd","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Playwright","optional":true},{"name":"Prometheus","optional":true},{"name":"Pytest","optional":true},{"name":"Rest-Assured","optional":true},{"name":"Selenium","optional":true},{"name":"SLI/SLO/SLA","optional":true},{"name":"Terraform","optional":true},{"name":"TestNG","optional":true}],"status":"live","first_seen_at":"2026-10-27T22:40:05Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T09:16:05Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"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.\nJoin us to put AI to work for people.\nJoin 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.\nWhat you get to do in this role:\nDesign, build, and operate cloud-native engineering platforms for software validation, release validation, and production readiness\nDesign and maintain production-like release and test ServiceNow environments that improve release confidence and deployment readiness.\nBuild and integrate automated test pipelines, observability, reliability signals, deployment intelligence, and quality gates into CI/CD workflows.\nDevelop automation solutions that improve engineering productivity, streamline operations, and reduce manual toil through shift-left engineering practices.\nBuild reusable frameworks, self-service engineering environments, test data management, mock services, and developer productivity tooling.\nDesign and enhance Kubernetes-based platforms supporting scalable test infrastructure, release automation, cloud-native workloads, and developer self-service.\nImplement automated validation for failure detection, deployment verification, policy enforcement, security checks, resilience testing, and operational health assessments.\nResolve complex platforms, infrastructure, and networking challenges through software engineering, systems design, and automation.\nPartner closely with engineering teams to improve platform reliability, release quality, cloud-native adoption, and engineering best practices.\nParticipate in architecture reviews, technical design discussions, and implementation of scalable, automation-first engineering solutions.\nInfluence technical decisions through strong engineering execution, collaboration, and delivery of high-quality platform capabilities.\nMentor engineers through technical guidance, code reviews, knowledge sharing, and engineering best practices.\nFoster a culture of reliability, automation, operational excellence, continuous improvement, and customer-focused engineering.\n To be successful in this role you have:\nExperience 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.\n3+ years of experience in Site Reliability Engineering (SRE), DevOps, Platform Engineering, Software Engineering, or Infrastructure Engineering with a Bachelor's degree; or equivalent experience.\nHands-on experience with Kubernetes across cluster operations, networking, storage, security, autoscaling, and multi-cluster environments.\nExperience building and operating cloud-native platforms supporting scalable, highly available services.\nExperience integrating Kubernetes with CI/CD, GitOps, automated test pipelines, deployment validation, and cloud-native deployment workflows.\nExperience designing and implementing automation to improve developer productivity, release quality, and operational efficiency.\nExperience with progressive delivery practices, including canary deployments, feature flags, automated rollback, and deployment verification.\nExperience with chaos engineering, resilience testing, disaster recovery, and reliability validation.\nStrong software engineering skills with hands-on experience designing, developing, testing, and debugging applications using Python, Go, Java, or Ruby.\nExperience leveraging AI-assisted engineering for intelligent testing, release risk analysis, incident diagnostics, or operational automation is a plus.\nStrong understanding of observability, monitoring, SLI/SLOs, incident management, and production operations for distributed systems.\nDemonstrated ability to solve complex technical problems, drive projects independently, and collaborate effectively across engineering teams.\nThrives in fast-paced, ambiguous environments with a strong ownership mindset, bias for action, and a passion for continuous learning and automation.\nLow ego, intellectually curious, and an effective collaborator who enjoys partnering with globally distributed teams to deliver reliable engineering solutions.\nGood to have:\nExperience with observability and monitoring platforms for applications, services, and distributed systems at scale.\nExperience with DevOps automation, CI/CD pipelines, GitOps, and Agile development practices using tools such as GitLab CI/CD, Argo CD, or Flux.\nExperience building and maintaining enterprise-scale test automation frameworks using technologies such as Playwright, Selenium, Cypress, REST Assured, PyTest, JUnit/TestNG, or equivalent.\nExperience with test orchestration, intelligent regression testing, test impact analysis, flaky test detection, parallel execution, and test data management.\nExperience with service virtualization, contract testing, synthetic testing, and building developer self-service engineering platforms.\nExperience with Infrastructure as Code and configuration management tools such as Ansible, Terraform, or equivalent.\nExperience with the Kubernetes ecosystem, including Helm, Argo Workflows, Kustomize, Istio/Linkerd, Gateway API/Ingress, Prometheus, OpenTelemetry, and container runtime technologies.\nExperience operating Kubernetes platforms across public cloud providers, including AWS (EKS), Azure (AKS), and Google Cloud (GKE).\nExperience implementing progressive delivery practices, including canary deployments, feature flags, deployment verification, and automated rollback.\nFamiliarity with AI-assisted engineering, intelligent testing, operational automation, or cloud-native engineering platforms.\nFor positions in this location, we offer a base pay of $146,200 - $255,900, 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.\n Work Personas\nWe 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.\nEqual Opportunity Employer\nServiceNow 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.\nAccommodations\nWe 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.\nExport Control Regulations\nFor 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.\nFrom Fortune. ©2026 Fortune Media IP Limited. All rights reserved. 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