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Strong brand, generalist SDET title, and metro hiring increase competition despite niche automation skill requirements.
Automation engineering skills transfer across industries but AI/DevOps specifics raise domain sensitivity.
Many mandatory automation, CI/CD and AI tooling requirements imply rigorous technical filtering.
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Lead and oversee the testing strategy, plans, and quality efforts for new and existing applications, ensuring comprehensive test coverage and appropriate testing processes.
Develop, maintain, and extend automated testing frameworks and scripts across Web UI, API, and database layers, incorporating AI-driven tools like GitHub Copilot for test creation and optimization.
Collaborate with product and development teams in Agile environments to estimate, prioritize, and coordinate testing activities, fostering continuous improvement and quality culture within the team.
Experience leading QA automation efforts with expertise in E2E testing for Web UI applications, API, and database automation using frameworks like WebdriverIO, Cypress, and Playwright.
Proficiency in C# is implied but not explicitly mentioned; key technical skills include Hybrid and BDD frameworks, SQL querying, and CI/CD tools such as Azure DevOps and GitHub Actions.
Work Experience Required: Not explicitly mentioned in the JD.
Familiarity with containerization (Docker, ECS), observability tools (Splunk, Open Telemetry), and secret management in test environments.
Experienced in managing all stages of the Software Testing Life Cycle (STLC), with the ability to lead and collaborate cross-functionally in Agile environments.
Technically strong on automation frameworks and AI/ML-based testing tools with hands-on skills in building and optimizing tests using AI-assisted tools like GitHub Copilot.
Comfortable working in DevOps-centric environments with expertise in CI/CD pipelines, container orchestration, and monitoring tools to ensure stable and reliable delivery.