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Mid-level automation role in a metro city with broad cloud and testing skill requirements increases competition.
Core automation skills transfer across industries, but cloud-native and AI testing requirements add domain specificity.
Explicit 5–7 years plus mandatory automation, cloud-native, and CI/CD skills make candidate filtering strict.
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Design, develop, and maintain scalable automation frameworks and test suites across UI, API, and integration layers for an AI-driven cloud operations platform.
Develop and execute automated test cases integrated into CI/CD pipelines to ensure high-quality releases in a SaaS environment.
Define and implement test strategies for microservices-based distributed systems, leveraging observability data and cloud-native validation techniques.
5-7 years of experience in test automation or quality engineering in agile, fast-paced product environments.
Strong programming skills in Python (preferred) or Java/JavaScript with experience in modern automation frameworks like Playwright, Cypress, Pytest, or Robot Framework.
Hands-on experience with API testing tools (Postman/Newman, REST Assured, Python requests) and CI/CD pipelines (Jenkins, GitHub Actions, or GitLab CI).
Experience with cloud-native architectures (microservices, containers), Docker, Kubernetes, and testing cloud-based applications, preferably on AWS.
Experienced in building and enhancing test automation frameworks and embedding quality early in the SDLC within microservices and distributed cloud environments.
Demonstrates strong debugging and problem-solving skills with proficiency in observability tools to validate system behavior and improve production quality.
Has practical exposure to AI-driven test automation or testing AI/ML-driven systems and understands complexities of non-deterministic system behavior.