Quality Engineering Lead

Hello Everyone,

Optum is hiring Quality Engineering Lead with AI Testing experience at Bangalore who can join us on a short notice.

Primary Skills - Python, Pytest, Selenium, AI Testing, SQL, API Automation, Rest Assured, Postman, CICD, ROBOT Framework

Experience - 7 - 11 yrs

Notice Period - Immediate to 45 days

Location - Bangalore (JP Nagar)

*Healthcare Domain

Primary Responsibilities:

• 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    

Required Qualifications:

• Bachelors or masters 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 or similar cloud-based test execution platforms
• Experience with REST API testing and tools like Postman or REST-assured
• Experience with cloud platforms (e.g., Azure, AWS, GCP) and modern DevOps practices
• Experience with cloud platforms (e.g., Azure, AWS, GCP) and modern DevOps practices
• Experience testing Electronic Health Record (EHR) systems and clinical applications
• Experience with healthcare cloud platforms (AWS healthcare, Azure Government, GCP healthcare solutions)
• Knowledge of healthcare standards and interoperability protocols (HL7, FHIR, DICOM)
• Have experience building or integrating AI solutions, such as:
• Automating workflows using AI APIs (e.g., OpenAI, Hugging Face, Azure AI)
• Embedding AI into applications (e.g., chatbots, recommendation systems)
• Leveraging AI for data analysis, testing, or code generation
• Knowledge of CI/CD tools and processes
• Knowledge of vector databases, embeddings, or RAG-based systems
• Working knowledge of various tools such as ALM, Rally etc
• Familiarity with version control systems like Git
• Familiarity with prompt engineering and using LLMs for development tasks
• Familiarity with HIPAA compliance requirements and patient data privacy regulations
• Understand and apply AI concepts relevant to their domain
• Solid understanding of SQL and experience with database testing
• Understanding of healthcare workflows and clinical processes
• Proven solid programming skills in Python
• Proven to use AI-powered tools such as GitHub Copilot, M365 Copilot, or similar to enhance productivity and code quality
• Demonstrated prompt engineering skills, including crafting effective prompts for AI tools
• Demonstrated solid analytical and problem-solving skills
• Demonstrated excellent communication and collaboration abilities

Interested can share their updated resume at [email removed]