AI Senior Automation Engineer

About DevRev

At DevRev, were building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.

About Us

Our Company is a young and innovative, truly global AI SaaS company founded in 2020 with development centers in the USA, the European Union, India, and the Philippines. Our platform is a modern, AI-powered CRM that brings together support, product, and development teams in one system. It helps SaaS companies manage customer issues, gather feedback, and improve their products—all while showing how these efforts affect revenue. As part of our rapid growth, we are expanding our technical team in the Philippines and are on the lookout for talented and innovative senior QA Engineers to join their mission-driven organization & help us deliver exceptional products. This is an exciting opportunity for professionals who are passionate about innovation and eager to work with cutting-edge technologies in a truly global environment

About The Role

As Senior AI QA Automation Specialist, you will leverage a cutting-edge test automation framework to enhance and expedite testing processes, govern and evolve test frameworks, develop a test reporting system, and develop a comprehensive monitoring and alerting system. Your expertise will ensure the robustness, efficiency, and reliability of the software delivery pipeline.

We are seeking a highly skilled Senior AI QA Automation Architect with deep expertise in building and scaling test automation frameworks using the Playwright framework. The ideal candidate has experience defining and driving QA automation strategy across large test suites, implementing clean design principles, and introducing AI-assisted testing methodologies for smarter, more efficient QA cycles.

You will be instrumental in establishing a scalable, maintainable, and robust test automation ecosystem. This role requires both strategic thinking and hands-on execution, serving as a technical leader and mentor to the QA automation team. In this role, you will leverage AI and test automation to enhance and expedite our testing processes, govern and evolve our test frameworks, and develop a comprehensive monitoring and alerting system. Your expertise will ensure the robustness, efficiency, and reliability of our software delivery pipeline.

Key Responsibilities

• AI-driven Test Automation:
• Implement and utilize AI and intelligent agents to accelerate test generation processes.
• Transition from manual test case development to AI-driven automation solutions, enhancing overall testing efficiency.
• Test case design and documentation:
• Define clear, concise, and comprehensive test cases based on requirements, specifications, and user stories. Ensure test cases cover both positive and negative scenarios, edge cases, and system interactions. Maintain traceability between test cases and product features.
• Test Suite Development & Maintenance:
• Organize and maintain test suites to reflect product changes and evolving test coverage needs. Refactor outdated or redundant tests, ensuring relevance and accuracy. Maintain a clear structure for manual and automated test suites for ease of access and reusability.
• Test Framework Implementation and Governance:
• Design and implement a test automation framework using Playwright for end-to-end web testing that is modular, maintainable, and scalable. Create a blueprint and best practices for the QA team to onboard and contribute new automated test cases seamlessly.
• Define coding standards, version control practices, branching strategies, and code review guidelines for the QA automation codebase.
• Integrate test automation into CI/CD pipelines with real-time test reporting.
• Explore and integrate AI-powered tools for test case generation, flakiness detection, and intelligent exploratory testing (e.g., Testim, Mabl, Diffblue, or custom LLM-based test generation tools). Champion shift-left testing practices by collaborating with developers, product managers, and DevOps to catch issues early.
• Oversee the maintenance and continuous improvement of the existing test framework.
• Analyze test failures and test escapes to identify root causes and implement solutions.
• Foster a culture of quality through continuous improvements in testing methodologies and frameworks.
• Test reporting and analytics:
• Design and develop test reports to provide visibility into the test suites performance and failures.
• Implement an effective test failures alerting system to promptly notify feature owners and responsible developers of SUT issues and failures.
  
  

• Minimum Bachelors degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in Quality Assurance, with 3+ years architecting automation frameworks.
• Deep hands-on experience with Playwright (JavaScript/TypeScript) in a real-world production environment.
• Demonstrated experience building an automation framework from scratch, with organized test categorization, reusability, and CI/CD integration.
• Strong understanding of software testing methodologies, test planning, and test strategy.
• Familiarity with using AI to enhance testing and software development.
• Strong problem-solving skills and attention to detail.
• Experience with test reporting and analytics tools (e.g., Allure, ReportPortal, TestRail)
• Strong scripting and coding skills (JavaScript/TypeScript)
• Experience with test management and defect tracking systems.
• Experience with cloud-based test execution and containerization (Docker, Kubernetes).
• Familiarity with Git, Jenkins/GitHub Actions/Azure DevOps, and cloud services like AWS/GCP is a plus.
• Excellent communication, teamwork, and documentation skills, with a strong ability to advocate for best practices.
  
  

• Hands-on experience with AI in software testing, such as using AI for test case generation, code coverage analysis, or flaky test detection.
• Knowledge of test framework design and development.
• Strong understanding of test reporting tools and technologies.
  
  

• Contributions to open-source QA frameworks or tools.
• Familiarity with visual regression tools (e.g., Percy, Applitools).
• Knowledge of performance testing tools and integration with automation pipelines.
• Experience working in Agile/Scrum or DevOps-centric environments.