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Tier-1 brand, mid-level QA title, and broad cloud/Kubernetes skillset increase candidate competition.
Strong cloud-native and observability requirements make industry experience relevant, but automation skills remain transferable.
Explicit 5+ years plus mandatory cloud-native, Kubernetes, observability, and automation skills enforce strict filters.
Design and develop comprehensive test strategies and automated test suites for cloud-native observability solutions focusing on functionality, reliability, scalability, and performance.
Develop and maintain end-to-end test automation frameworks integrated with CI/CD pipelines to enhance test coverage and release quality.
Validate distributed systems, microservices, APIs, and Kubernetes/OpenShift deployments ensuring operational readiness and drive continuous quality engineering improvements including Escaped Defect Analysis.
5+ years of experience in System Testing, QA Automation, and Quality Engineering for cloud-native or distributed software products.
Engineering degree (specific branch not mentioned).
Hands-on experience with test automation frameworks, API testing, CI/CD integrated test automation, and validating microservices-based applications and distributed systems.
Strong experience with Kubernetes, OpenShift, Containers, Helm, and observability technologies such as OpenTelemetry, PromQL, VictoriaMetrics.
Experienced in validating large-scale data ingestion, streaming, telemetry pipelines, and observability platforms involving Kafka and data-intensive systems.
Proficient in integrating automated tests within CI/CD pipelines using Jenkins and familiar with performance, reliability testing and defect analysis methods.
Capable of collaborating cross-functionally in Agile/Scrum environments to drive root cause analysis and continuous quality improvement.