ProductReliabilityEngineer

## Accountabilities Partner with customers and internal teams to investigate and resolve complex production issues across Kubernetes-based on-prem and hybrid deployments. Lead deep root-cause analysis for escalations, reproduce issues, and collaborate with engineering teams to implement durable fixes. Build and maintain reliability tooling such as diagnostics systems, health checks, support bundles, and environment validation utilities. Own and improve test automation frameworks, focusing on CI stability, reducing flaky tests, and strengthening integration and end-to-end coverage. Define and maintain performance baselines, regression testing frameworks, and reliability gates to prevent production regressions. Improve installation, upgrade, and deployment reliability by identifying recurring failure patterns and building preventive solutions. Develop production-grade internal tools and product enhancements using Python, Go, or Rust to strengthen observability and system resilience. Establish a closed feedback loop from customer issues to engineering improvements in testing, observability, documentation, and defaults. Requirements: 4–7 years of experience in production engineering, SRE, platform engineering, or similar roles focused on reliability and distributed systems. Strong software engineering fundamentals, including debugging, testing, system design, and production-grade coding practices. Hands-on Kubernetes expertise, including troubleshooting workloads, networking, storage, RBAC, and multi-environment deployments. Strong experience with observability tools and techniques, including logs, metrics, and tracing for distributed system debugging. Proficiency in at least one programming language such as Python, Go, or Rust, with experience building internal tools or production systems. Strong analytical and communication skills, with the ability to break down complex incidents into clear root causes and actionable recommendations. Experience working in cross-functi