System QA & Automation Engineer/Lead/Specialist

Job description

Description We are seeking talented System QA & Automation with experience and a passion for delivering high-quality, cloud-native software solutions. In this role, you will design, develop, and execute test strategies and automation solutions for end-to-end system validation of cutting-edge applications in the observability domain, leveraging modern testing frameworks, cloud-native technologies, and automation tools. You will collaborate closely with development, product, and operations teams to ensure product quality, reliability, performance, scalability, and operational readiness while driving continuous improvement in system testing, test automation, and quality engineering practices within an agile environment. Your responsibilities • Design, develop, and execute comprehensive test strategies, test plans, and automated test suites to validate cloud-native observability solutions for functionality, reliability, scalability, and performance. • Develop and maintain end-to-end test automation frameworks and pipelines, integrating automated validation into CI/CD workflows to improve test coverage, efficiency, and release quality. • Drive system-level validation of distributed systems, microservices, APIs, and Kubernetes-based deployments, ensuring operational readiness across complex deployment environments. • Leverage AI-powered testing tools, intelligent automation techniques, and modern quality engineering practices to improve test effectiveness, productivity, and overall software quality. Your skills and experience • Engineering degree with 4-11 years of experience. Experience in System Testing, QA Automation, and Quality Engineering for cloud-native, distributed, or enterprise software products. • Strong hands-on experience in designing and implementing test automation frameworks, API testing, end-to-end system validation, regression testing, and CI/CD-integrated test automation. • Proven expertise in validating microservices-based applications, distributed systems, REST APIs, and complex multi-component deployments. • Strong experience with Kubernetes, OpenShift, Containers, and Helm, including deployment validation, troubleshooting, upgrade testing, and platform-level verification. • Experience testing large-scale data ingestion, streaming, and observability platforms involving Kafka, telemetry pipelines, and data-intensive systems. • Strong knowledge of observability technologies, including metrics, logs, traces, OpenTelemetry (OTLP), PromQL/VMQL, VictoriaMetrics, and monitoring-driven validation approaches. • Hands-on experience with CI/CD, Jenkins, test automation pipelines, performance testing, reliability testing, defect analysis, and quality engineering best practices, including Escaped Defect Analysis (EDA). Strong debugging, root cause analysis, problem-solving, and cross-functional collaboration skills.