Design, develop, and maintain scalable, reusable automation frameworks for UI, API, and integration testing
Contribute to automation strategy and drive implementation across assigned projects
Build and execute end-to-end automation suites covering critical business workflows
Integrate automation frameworks into CI/CD pipelines for continuous testing and delivery
Analyze failures, debug issues, and ensure high stability and reliability of automation suites
Identify gaps in automation coverage and drive improvements in test strategy and execution
Collaborate with developers, product teams, and DevOps to ensure testability and quality from early stages (shift-left)
Review requirements and design documents, providing technical feedback and risk assessment
Conduct code reviews for automation scripts ensuring adherence to standards and best practices
Mentor and support team members on automation best practices, frameworks, and tools
Track and report automation metrics including coverage, stability, and execution results
Ensure efficient test data management and environment configuration
Work with Docker containers for test execution, environment setup, and CI/CD integration
Contribute to QA standards, governance, and process improvements across teams
Support non-functional testing (performance, scalability) where applicable
Work in a fast-paced environment, balancing automation and hands-on QA responsibilities
Lead the testing and evaluation of AI-powered applications by validating model performance, security controls, AI guardrails, prompt robustness, and adherence to responsible AI practices
Collaborate with development and business teams to define test scenarios, execute test plans, and support successful deployment of UiPath and Microsoft Power Platform solutions
Skills and Experience
10+ years of experience in software testing, with 8+ years of strong expertise in automation
Bachelor’s degree in computer science, engineering or other equivalent combination of education and work experience
Exposure to AI-assisted development and testing tools such as Claude, GitHub Copilot, or Codex, with familiarity in automated scripts
Hands-on experience with LLM evaluation frameworks and tools, including assessing model performance, accuracy, relevance, and reliability
Strong understanding of AI safety and security concepts, including guardrail evaluation, prompt injection testing, jailbreak detection, data leakage prevention, and responsible AI validation
Strong hands-on experience with automation tools such as Playwright or Selenium
Proficiency in programming languages such as Java or Python
Proven experience designing and maintaining automation frameworks from scratch
Strong understanding of test architecture, design patterns (POM, BDD), and scalable automation design principles
Strong experience working in Agile and DevOps environments
Linked-in
Google