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Tier-1 brand, common QA automation mid-level role, and 5+ years drive high candidate density.
Cloud-native, observability, Kubernetes, and Kafka requirements make industry transfer moderately sensitive.
Explicit 5+ years and extensive mandatory cloud-native, observability, and automation expertise enforce high shortlisting strictness.
Design, develop, and execute comprehensive test strategies and automated test suites for cloud-native observability solutions ensuring functionality, reliability, scalability, and performance.
Develop and maintain end-to-end test automation frameworks integrated into CI/CD pipelines to enhance test coverage and release quality.
Drive system-level validation of distributed systems, microservices, APIs, and Kubernetes/OpenShift-based deployments while leading continuous quality engineering improvements including defect analysis and AI-powered testing tools.
Engineering degree with 5+ years of experience in System Testing, QA Automation, and Quality Engineering for cloud-native or distributed software products.
Strong hands-on skills in test automation frameworks, API testing, regression testing, and CI/CD integrated automation.
Experience validating microservices-based applications, distributed systems, REST APIs, Kubernetes/OpenShift, and related deployment technologies like Containers and Helm.
Work Experience Required: 5+ years
Experienced in large-scale data ingestion, streaming, and observability platforms involving Kafka, telemetry pipelines, and data-intensive systems.
Proficient in observability technologies such as OpenTelemetry, PromQL/VMQL, VictoriaMetrics, with a focus on monitoring-driven validation.
Comfortable working in Agile/Scrum teams, demonstrating strong debugging, root cause analysis, and collaboration skills across development and operations.