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Specialized senior performance SDET role in Bangalore; seniority narrows applicants despite metro location.
Skills broadly transferable, but Azure, AKS, and contact-center exposure increase domain specificity.
Explicit 10+ years and mandatory Azure/Kubernetes/performance tooling make shortlisting highly stringent.
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Design and implement automated performance testing frameworks and strategies focused on distributed microservices in Azure cloud environment.
Build simulators, traffic generators, and mocks to validate scalability, reliability, and performance across systems, integrated with CI/CD pipelines.
Collaborate with architects, developers, and SRE teams to analyze performance bottlenecks, execute chaos testing, and drive capacity planning and production incident RCA.
10+ years of experience in QA, development, and automation with strong focus on performance engineering.
Proficiency in performance testing tools (K6, JMeter, Gatling, or custom frameworks) and scripting languages (Python, C#, Java, or similar).
Hands-on experience with Kubernetes (preferably AKS) and Azure cloud services including performance tuning.
Bachelor’s or Master’s degree in Computer Science or related field.
Experienced in cloud-native performance engineering for distributed microservices and Kubernetes environments.
Skilled in building automated, AI-driven performance test systems integrated with observability tools such as Prometheus, Grafana, and Azure Monitor.
Able to lead cross-functional collaborations focused on system scalability, resilience, and proactive capacity planning in complex enterprise SaaS or contact center platforms.