Senior 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. 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 AI's potential impact on the function or industry. • 3+ years of experience in Site Reliability Engineering (SRE), DevOps, Platform Engineering, Software Engineering, or Infrastructure Engineering with a Bachelor's degree; 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