Reliability Engineer

Quick Facts

• Role: Reliability Engineer

Description

Build and operate cloud-native engineering platforms that improve software validation, release validation, and production readiness. Design production-like ServiceNow release and test environments, automate test and validation workflows within CI/CD, and implement reliability and security checks using observability and deployment intelligence. Enhance Kubernetes-based platforms supporting scalable test infrastructure and developer self-service for high-confidence releases.

Responsibilities

• Design, build, and operate cloud-native engineering platforms for software validation, release validation, and production readiness

• Create and maintain production-like release and test ServiceNow environments to improve deployment readiness

• Build and integrate automated test pipelines, observability/reliability signals, deployment intelligence, and quality gates into CI/CD workflows

• Develop shift-left automation to reduce manual toil and streamline operations

• Create reusable frameworks and self-service environments, including test data management and mock services

• Design and enhance Kubernetes-based platforms for scalable test infrastructure and release automation

• Implement automated validation for failure detection, deployment verification, policy enforcement, security checks, resilience testing, and operational health

• Resolve complex platform, infrastructure, and networking challenges through software engineering and systems design

• Collaborate with engineering teams to improve platform reliability and release quality

• Participate in architecture reviews and technical design discussions

• Mentor engineers through guidance, code reviews, and knowledge sharing

• Promote reliability, automation, operational excellence, and continuous improvement

Requirements

• 2+ years of experience in SRE, DevOps, Platform Engineering, Software Engineering, or Infrastructure Engineering with a Bachelor’s degree; or an advanced degree without experience; or equivalent work experience

• Hands-on experience with Kubernetes across cluster operations, networking, storage, security, autoscaling, and multi-cluster environments

• Experience building and operating cloud-native platforms for scalable, highly available services

• Experience integrating Kubernetes with CI/CD, GitOps, automated test pipelines, and deployment validation workflows

• Experience designing and implementing automation to improve developer productivity, release quality, and operational efficiency

• Experience with progressive delivery practices (canary deployments, feature flags, automated rollback, deployment verification)

• Experience with chaos engineering, resilience testing, disaster recovery, and reliability validation

• Strong software engineering skills (design, develop, test, debug) using Python, Go, Java, or Ruby

• Strong observability and production operations knowledge, including SLI/SLOs and incident management

• Ability to solve complex technical problems, drive work independently, and collaborate effectively

• Works well in fast-paced, ambiguous environments with ownership and continuous learning

• Experience leveraging or critically thinking about integrating AI into work processes and decision-making

Benefits

• Base pay range: $108,500 – $168,200 (plus equity when applicable, variable/incentive compensation, and benefits)

• Health plans, flexible spending accounts, 401(k) with match, ESPP, matching donations

• Flexible time away and family leave programs