Lead QA Automation Engineer ,Vice President
Listed on 2026-09-03
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Quality Assurance - QA/QC
IT QA Tester / Automation, AI QA / Validation Engineer
We are seeking a Lead / Senior QA Automation Engineer to elevate the quality engineering function across our automation and data-processing platforms. This role is expected to assess current processes, design and implement automation frameworks, and establish systematic, scalable QA practices. Working closely with BAs, developers, and leadership, this is a hands‑on technical leadership role for a self‑motivated professional who takes full ownership of quality outcomes.
Key Responsibilities- Design, build, and maintain scalable Selenium-based automation frameworks;
Perform and oversee end‑to‑end QA validation — functional, regression, integration, and ETL‑focused testing, including data flow validation and expected‑vs‑actual reconciliation - Design, build, and maintain test automation frameworks and scripts for data pipelines, ETL workflows, automation solutions, and dashboard outputs.
- Develop and execute automated validation suites for server‑side components, including RESTful APIs, microservices, and database layers using SQL and No
SQL queries. - UI and API testing:
Validate web UI behavior and backend services (REST/JSON, etc.), including contract validation, error handling, and negative testing; ensure testability and observability with engineering partners. - Performance testing:
Plan and execute load, stress, and endurance testing; analyze results, identify bottlenecks, and partner with engineering on remediation and re‑testing. - Creating detailed, comprehensive, and well‑structured test plans and test cases, test estimation, regression testing, test automation development, and other project artifacts.
- Review BRDs and expected outputs (EVs - Expected Values) provided by BAs and drive translation into scalable, reusable test scenarios.
- Validate data integrity and consistency in Oracle and SQL‑based data stores through complex query‑based checks and automated data layer testing.
- Validate Tableau dashboard outputs for accuracy, aggregation correctness, and alignment with source data.
- 6-10 years of QA experience with strong emphasis on test automation, ETL/data quality, and enterprise automation platforms.
- Demonstrated experience designing and implementing test automation frameworks (for example, Python, Pytest, Robot Framework, Power Shell, or equivalent).
- Hands‑on experience testing platforms such as Xceptor, UiPath, Blue Prism, Automation Anywhere, Informatica, Talend, SSIS, or equivalent.
- Strong, hands‑on experience with Selenium (automation design, framework patterns, and maintenance) and complementary manual testing expertise.
- Proven experience in UI testing for modern web applications and API testing for service‑based architecture.
- Hands‑on experience executing performance testing and translating findings into actionable engineering improvements.
- Strong SQL and Oracle skills for complex data validation, reconciliation, and automated query‑based testing.
- Ability to interpret Excel‑based BRDs/EVs and perform expected‑vs‑actual data comparisons on a scale.
- Experience using Jira for defect management, test tracking, and workflow governance.
- Experience with Oracle databases, PL/SQL, and data lake or data warehouse environments.
- Experience validating BI/dashboard outputs (for example, Power BI, Tableau, or similar tools).
- Exposure to CI/CD pipelines, quality gates, and Dev Ops‑integrated QA practices.
- Familiarity with common output formats and validation methods (Excel, CSV, XML, JSON)
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
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Job Family Group:Technology
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Job Family:Technology Quality
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Time Type:Full time
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Primary Location Full Time Salary Range:$ - $
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Most Relevant SkillsPlease see the requirements listed above.
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Other Relevant Skills-----------------------------------------------------
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