Quality Engineering Lead - AI Tetsing, Python, Pytest - Bangalore

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Framework & Test Development Lead the design, development, and maintenance of scalable, reusable test automation frameworks for UI and API testing using Playwright, Python, PyTest, Requests Library, etc Develop comprehensive automated test suites following Object-Oriented Programming (OOP) principles and software design patterns (Page Object Model, Data-Driven Testing) Plan and execute all levels of testing: Smoke, Sanity, Functional, Integration, Regression, UAT, Security, and Usability Testing Create and maintain test data strategies, test environment management, and cross-browser/cross-platform testing Create and maintain test metrics, reporting, and dashboard for quality visibility Perform comprehensive API testing using tools such as Insomnia, Postman, Requests Library, and Rest Assured Validate API contracts, response validation, and conduct security testing and OWASP vulnerability scanning Perform SQL and relational database testing, NoSQL database testing (MongoDB, DynamoDB), and message queue testing ( Kafka) Conduct database assertions and data validation across systems Test microservices architecture and distributed system components Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, Azure Pipelines) and support continuous release validation activities Monitor test execution reports, analyze failures, and facilitate rapid feedback loops Collaborate on deployment strategies and production readiness assessments using Docker and containerization concepts Support Infrastructure-as-Code testing (Terraform, CloudFormation) Quality Assurance & Collaboration Conduct defect triage, root cause analysis, risk assessment, and quality reporting using tools such as Jira and Azure Boards Collaborate with Development, DevOps, Product, and Business teams to ensure quality throughout the SDLC Establish quality gates, define acceptance criteria for releases, and support Agile/Scrum methodologies Perform test strategy development and risk-based testing approach Conduct test estimation and effort planning AI & Modern Testing Innovation Leverage AI-powered tools including GitHub Copilot and LLM-based solutions to enhance productivity and test coverage Utilize copilot, Claude and LLMs for intelligent test generation and optimization Implement Machine Learning-based test optimization and intelligent test failure analysis Generate automated documentation and leverage AI for test recommendations Evaluate and implement emerging testing technologies and methodologies Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor's or master's degree in computer science, Engineering, or related field 7+ years of experience in quality engineering and test automation Hands-on experience with ROBOT Framework and Selenium Experience with Sauce Labs