Senior Automation QA Lead

You will be joining a global digital solutions company known for its expertise in cloud, data engineering, and quality assurance, with a strong focus on innovation and agile delivery across BFSI and Healthcare sectors. As a part of the team, you will be taking on a leadership QA role, where you will be responsible for managing both manual and automated testing across ETL pipelines, UI, and databases. This role will also involve leading a team and collaborating cross-functionally across global teams. Your responsibilities will include implementing best practices in testing, owning quality strategy documentation, and integrating with CI/CD tools. Key responsibilities in this role will include leading and managing a QA team of at least 4 members, handling ETL, UI, DB, and end-to-end testing. You will be required to analyze requirements, create detailed test cases and test data (both manual and automated), validate ETL workflows and transformation logic using advanced SQL (Snowflake/Postgres/MySQL), create and maintain automation scripts using BDD (Gherkin/Behave, Pytest) in Python, integrate automation frameworks with CI/CD tools like Jenkins, GitHub, Rundeck, develop and maintain documentation including Test Strategy, BRDs, Defect Reports, etc. Additionally, you will be expected to drive collaboration across DevOps, SRE, developers, and stakeholders, and provide testing metrics and improvement plans to senior leadership. To excel in this role, you must have 9-12 years of total QA experience with at least 6 years in ETL/UI/DB testing, 3+ years of experience in automation testing (Selenium v3+, Playwright) with Python, strong hands-on experience with SQL queries (preferably Snowflake/Postgres), experience with AWS or other cloud platforms, proven leadership managing at least 2 QA team members, working experience with Agile methodologies (Scrum/Kanban), and excellent communication and stakeholder management skills. It would be nice to have exposure to DBT, Informatica, or MS Power BI, healthcare/life sciences domain knowledge, front-end vs back-end validation exposure, and willingness to work flexible hours with international teams. The required education for this role includes BCA / B.Sc. (Computer Science) / B.E. / B.Tech / MCA / M.E. / M.Tech.,