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Medium: Tier-1 brand and metro location increase applicants, balanced by specialized automation, performance, and Kubernetes needs.
Low: automation, performance testing, Kubernetes, and observability skills are broadly transferable across industries.
High: explicit 7+ years and mandatory hands-on automation, performance testing, Kubernetes, and observability skills.
Lead and own the quality engineering strategy focusing on automation framework development, performance validation, and embedding quality gates in CI/CD pipelines.
Maintain and evolve a scalable Automation Suite framework covering functional, regression, integration, API, and performance tests to enhance team productivity and product quality.
Troubleshoot Kubernetes-based distributed application issues using observability tools like Datadog and logging frameworks; mentor engineers and support customer escalations with root-cause analysis.
Bachelor’s degree in Computer Science, Computer Engineering, Electronics and Communication, or related discipline.
7+ years of experience in quality engineering including test automation, performance testing, and technical leadership.
Strong hands-on skills in automation framework design and maintenance, programming in Java, Python, or JavaScript.
Experience troubleshooting Kubernetes environments and using observability/monitoring tools (e.g., Datadog).
Experienced quality engineer with demonstrated leadership in owning and evolving automation frameworks at team or program level.
Proficient in integrating automated tests with CI/CD and embedding quality gates to improve release quality and engineering productivity.
Comfortable operating in cloud-native, microservices, and distributed systems environments with strong analytical ability to diagnose performance and reliability issues.