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Mid-level SDET in Bangalore, popular title with broad skill requirements and mid experience increases competition.
Core automation and API testing skills transfer broadly, though cloud-native and AI testing preferences increase domain specificity.
Explicit 5-7 years plus many mandatory tools, cloud-native and CI/CD requirements create strict shortlisting filters.
Build and maintain scalable automation frameworks and test suites covering UI, API, and integration layers for an AI-driven cloud operations SaaS platform.
Embed quality practices early in the SDLC by collaborating with development teams, contributing to test strategy for microservices and distributed systems.
Develop, execute, and integrate automated test cases into CI/CD pipelines while improving frameworks and ensuring high release quality using logs, metrics, and traces.
5-7 years of experience in test automation / quality engineering in agile, fast-paced product environments.
Strong programming skills in Python (preferred) or Java/JavaScript.
Hands-on experience with automation frameworks (Playwright/Cypress for UI, Pytest/Robot Framework), API testing tools (Postman/Newman, REST Assured), and CI/CD tools (Jenkins, GitHub Actions, GitLab CI).
Experience with cloud-native architectures including microservices, Docker, Kubernetes, and preferably AWS cloud-based applications.
Experienced in automation framework development and test strategy for microservices-based distributed systems in SaaS environments.
Strong understanding of API-first testing, contract/schema validation (OpenAPI, Pact), and observability tools (Prometheus, Grafana, ELK/OpenSearch).
Familiar with AI/ML-driven system testing, test data validation frameworks, and advanced testing concepts like shift-left and shift-right practices.