Quality Engineering Lead

Optum; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Optum is hiring a Quality Engineering Lead with AI Testing experience in Bangalore. The role requires 7–11 years of quality engineering and test automation expertise, with hands-on ROBOT Framework, Selenium, API testing, and cloud DevOps experience.

Lead the design of scalable test automation, plan multi-level testing, and integrate tests into CI/CD pipelines. Strong collaboration across teams and healthcare domain knowledge are essential.

Qualifications

• 7+ years experience in quality engineering and test automation.
• Hands-on experience with ROBOT Framework and Selenium.
• Experience with REST API testing and tools like Postman or REST-assured.
• Experience with cloud platforms (Azure, AWS, GCP) and modern DevOps practices.
• Experience testing Electronic Health Record (EHR) systems and clinical applications.
• Knowledge of healthcare standards and interoperability protocols (HL7, FHIR, DICOM).
• Proven programming skills in Python and AI-assisted testing concepts.

Responsibilities

• Lead the design, development, and maintenance of scalable UI and API test automation frameworks.
• Develop automated test suites following OOP and POM patterns.
• Plan and execute Smoke, Sanity, Functional, Integration, Regression, UAT, Security, and Usability testing.
• Create and maintain test data strategies, environment management, and cross-browser testing.
• Create test metrics, dashboards, and quality visibility reports.
• Perform API testing using Postman, REST-assured, and Requests Library.
• Validate API contracts and conduct security testing and OWASP scans.
• Test SQL/NoSQL databases (SQL, MongoDB, DynamoDB) and Kafka messaging.
• Conduct database assertions and data validation across systems.
• Test microservices architectures and distributed components.
• Integrate tests into CI/CD (Jenkins, GitHub Actions, GitLab, Azure Pipelines).
• Monitor test execution and analyze failures for rapid feedback.
• Collaborate on deployment strategies using Docker and containerization.
• Support Infrastructure-as-Code testing (Terraform, CloudFormation).

Skills

Python

Pytest

Selenium

AI Testing

SQL

API Automation

Rest Assured

Postman

CI/CD

ROBOT Framework

Education

Bachelor's degree in Computer Science or related field

Master's degree in related field

Tools

Jenkins

GitHub Actions

GitLab CI

Azure Pipelines

Docker

Terraform

CloudFormation

Job description

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