Quality Engineering Lead

Company: People Impact

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Product

Business Model: B2B

Funding Stage: Pre-seed

Industry: Fintech

Salary Range: ₹ 15-30 Lacs PA

Job Description Quality Engineering Lead – Test Automation & Data Validation Role Overview We are looking for a highly skilled Quality Engineering Lead to drive quality assurance initiatives across UI, API, data, and cloud platforms. The ideal candidate will have strong expertise in test automation framework development, data validation, API testing, and CI/CD integration, while partnering closely with development and data engineering teams to ensure high-quality software delivery.

Key Responsibilities

• Design, develop, and maintain scalable automation frameworks using Java, Selenium, Cucumber BDD, and Serenity.
• Create and execute automated API test suites using REST Assured.
• Perform comprehensive data validation, SQL testing, and quality checks across data pipelines and enterprise data platforms.
• Integrate automated testing solutions into CI/CD pipelines to enable continuous quality assurance.
• Validate and test Data Platforms, Master Data Management (MDM) systems, ETL processes, Data APIs, and Data Warehouses.
• Develop and execute multiple testing types including Unit, Integration, API, Smoke, System, Regression, and Performance Testing.
• Manage test strategy, test planning, test data preparation, execution, and defect tracking across complex environments.
• Work with databases such as Oracle, Teradata, and SQL Server while validating large-scale data transformations.
• Utilize AI-powered tools such as GitHub Copilot and Claude to improve automation productivity and testing effectiveness.
• Collaborate with developers, data engineers, business analysts, and product owners within Agile delivery teams.
• Support release validation and deployment activities across multiple environments.

Required Skills & Experience

• 6+ years of experience in Quality Engineering, Test Automation, or SDET roles.
• Strong hands-on experience in designing, developing, deploying, and maintaining automation frameworks.
• Advanced proficiency in Java, Selenium WebDriver, Cucumber BDD, Serenity, and REST Assured for UI and API automation.
• Solid experience with SQL, test data creation, and data validation across enterprise data ecosystems.
• Strong understanding of Data Platforms, MDM, ETL workflows, Data Pipelines, Data APIs, and Data Warehouse architectures.
• Expertise in QA processes, test strategy, test planning, and test management tools.
• Experience with Agile methodologies, CI/CD pipelines, and in-sprint automation practices.
• Exposure to cloud platforms such as AWS or Azure.
• Hands-on experience using AI-assisted development and testing tools, including GitHub Copilot.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Exposure to React-based applications.
• Understanding of modern API architectures and microservices.
• Experience with enterprise-scale data and cloud transformation programs.