Senior QA Automation Engineer

Quick Facts

Senior QA Automation Engineer responsible for hands-on automation across web, mobile, microservices, database, ETL, and API-based applications, integrating tests into CI/CD and supporting AI-assisted testing evaluation.

Description

Designs, develops, and maintains reusable automation frameworks and scalable automated tests for start-up implementations and operations & maintenance (O&M) software projects. Partners with Development, DevOps, Cloud, Systems, and Business teams to translate testing needs into maintainable automation, including CI/CD integration, performance support, and test data strategies. Advances automation practices and assesses AI-generated testing outputs with appropriate human oversight.

Responsibilities

• Design, develop, maintain, and enhance reusable automation frameworks using Page Object Model, data-driven, API-first, and AI-assisted testing approaches.
• Develop automation solutions using Java and/or Python, Selenium WebDriver, REST APIs, SQL, and supporting web and scripting technologies.
• Create and execute automated tests for web, mobile, microservices, database, ETL, and API-based applications.
• Collaborate with Development, DevOps, Cloud, Systems, and Business teams to integrate automated testing into CI/CD pipelines and support reliable releases.
• Analyze requirements; identify automation candidates; prepare test data; develop test strategies, plans, cases, estimates, and technical documentation.
• Review automation code, frameworks, test scripts, and suites for quality, reusability, security, maintainability, and compliance.
• Manage defects from identification through closure and communicate risks, dependencies, status, and quality results to stakeholders.
• Support cloud-based test environments, containerized execution, test data management, and database validation activities.
• Contribute to performance testing planning, execution, analysis, and continuous improvement.
• Mentor team members and promote automation and quality engineering best practices.
• Evaluate and pilot new tools, technologies, and AI-enabled testing capabilities; recommend based on measurable value.
• Assess AI-generated testing outputs for accuracy, security, maintainability, traceability, and business relevance with human oversight.
• Maintain manual and automation documentation and support system, release, and user acceptance testing as needed.

Requirements

• Minimum 5 years of hands-on software QA and test automation experience for medium to large complex web-based or enterprise applications.
• Strong programming in Java and/or Python (Python priority #1) with object-oriented design for reusable automation.
• Hands-on Selenium WebDriver experience (Selenium Grid 4 preferred).
• Experience building automation frameworks using Page Object Model, data-driven, and/or API-first approaches.
• Strong API testing and validation using REST APIs and tools such as Postman.
• Strong SQL skills for backend/database testing and ETL testing.
• Experience integrating automated tests into CI/CD pipelines (e.g., Jenkins and AWS).
• Working knowledge of AWS fundamentals and cloud-based testing solutions.
• Experience with Docker, Kubernetes, or similar containerization and orchestration.
• Proficiency with JavaScript, HTML, XML, and Unix/Linux scripting.
• Experience creating test strategies, test plans, test cases, estimates, and technical documentation.
• Experience with test management and defect tracking tools such as Jira and Xray.
• AI certification or hands-on AI tool experience (e.g., Copilot/GitHub Copilot) and ability to apply generative AI responsibly.
• Strong defect management and ability to coordinate with the manager on standards/process.
• Excellent verbal and written communication skills for technical and non-technical stakeholders.
• Bachelor’s degree in IT, Computer Science, Statistics, or a related field.

Benefits

Not specified in the provided posting.