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 arshad_[email protected]