Senior QA Automation Engineer (Remote)

As a Senior QA Automation Engineer, you will lead the design, development, and maintenance of automated testing frameworks and quality assurance strategies across our web, mobile (Android/iOS), and API-based applications. You will play a key role in ensuring the quality, reliability, and scalability of our products by driving automation initiatives, improving test coverage, and embedding quality throughout the software development lifecycle. In this role, you will design and implement automated test solutions, perform debugging and root cause analysis, and define corrective and preventive actions based on customer requirements and business needs. You will be responsible for building and enhancing automation frameworks, integrating automated testing into CI/CD pipelines, establishing QA best practices.

Responsibility includes the below but not limited to - Own the end-to-end testing lifecycle and take responsibility for the quality of products delivered to customers.

Design, develop, execute, and maintain comprehensive test plans, test scenarios, and test cases based on business, functional, and technical requirements.

Analyze business workflows and complex domain requirements, translating them into effective test strategies and coverage plans.

Identify test requirements from business and functional specifications, map requirements to test cases, and develop integration, system, regression, and end-to-end test coverage.

Lead defect management activities including defect identification, logging, root cause analysis (RCA), bug triage, severity assessment, defect classification, and release sign-off recommendations. Validate complex business logic, calculations, and mathematical operations to ensure data accuracy and functional correctness.

Perform data validation and reconciliation testing using SQL queries, database analysis, Excel, VLOOKUPs, and other analytical tools. Develop and execute data tie-out testing strategies to validate consistency between source systems, databases, reports, and downstream applications.

Test and validate RESTful APIs, ensuring data integrity and service reliability. Create, optimize, and execute complex SQL queries for backend validation, data verification, and troubleshooting.

Design and implement automated test frameworks and automated regression suites for web applications, APIs, and integration workflows.

Integrate automated tests into CI/CD pipelines to support continuous testing and faster release cycles. Continuously identify opportunities to improve testing processes, increase automation coverage, reduce manual effort, and enhance overall product quality.

7+ years of experience in Software Quality Assurance with strong expertise in both manual and automation testing.

Proven experience designing, developing, and maintaining automated test frameworks for web, mobile, API, and enterprise software applications.

Strong understanding of Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC), and Agile/Scrum methodologies.

Hands-on experience with automation tools and frameworks such as Playwright, Selenium WebDriver, Cypress, Appium, or equivalent technologies.

Proficiency in one or more programming/scripting languages such as Java, Python, JavaScript, or C# for test automation development.

Experience integrating automated tests into CI/CD pipelines using Jenkins, Azure DevOps, GitHub Actions, GitLab CI, or similar platforms.

Strong experience in API testing using Postman, Swagger/OpenAPI, REST Assured, or equivalent tools, including testing RESTful APIs, microservices, and distributed architectures.

Advanced SQL skills with experience writing complex queries for backend validation, data verification, reconciliation, troubleshooting, and data tie-out testing.

Experience validating complex business workflows, integrations, calculations, and data- intensive enterprise applications.

Familiarity with test management and defect tracking tools such as Jira, Azure DevOps (TFS), Zephyr, Xray, or TestRail.

Experience working with Android and iOS mobile applications is an advantage.

Experience utilizing AI-assisted development and testing tools (e.g., Claude, GitHub Copilot, AI-powered test automation platforms) to improve automation coverage, and quality is required.