DevRev - AI Automation Engineer
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Requirements
• Strong experience using Generative AI tools such as Claude, Gemini, or GitHub Copilot to: Generate test cases,Create automation code,Design test plans and workflows. • Generative AI tools • Hands-on expertise with LLM prompt engineering, including: Writing effective prompts,Using context windows and system prompts,Iteratively refining prompts for better test coverage and quality. • LLM prompt engineering • Experience with test automation frameworks (Selenium, Cypress, Playwright), with an emphasis on using AI to accelerate and enhance automation rather than writing everything manually. • test automation frameworks • Ability to design agent-based workflows, where AI is used to generate, validate, and evolve test scenarios. • agent-based workflows • Strong knowledge of JavaScript. TypeScript and/or Python, with the ability to: Review and audit AI-generated code, Validate correctness, performance, and maintainability. • JavaScript. TypeScript and/or Python • Solid understanding of testing fundamentals, with a mindset focused on: “How to automate testing at scale”. • Improving coverage, reliability, and speed using AI-driven approaches. • Hands-on experience with PyTest, Ginkgo, or similar frameworks. • Experience with AI Agents and tools for automation test generation. • Knowledge of test framework design and development. • Strong understanding of test reporting tools & technologies. • Culture • The foundation of DevRev is its culture -- our commitment to those who are hungry, humble, honest, and who act with heart. Our vision is to help build the earth’s most customer-centric companies. Our mission is to leverage design, data engineering, and machine intelligence to empower engineers to embrace their customers. • That is DevRev!
Responsibilities
• Test Case Design & Documentation • Define clear, concise, and maintainable test cases from requirements, specifications, and user stories. • Use AI tools to assist with test case design and documentation, including generating test scenarios, expanding edge cases, and improving clarity and consistency. • Ensure coverage across positive, negative, boundary, and edge-case scenarios. • Leverage AI to identify gaps in coverage and suggest additional scenarios based on user journeys and system behavior. • Maintain traceability between test cases, user journeys, and product features. • Test Suite Development & Maintenance • Organize and maintain automated test suites to reflect product changes. • Refactor outdated or redundant tests, ensuring accuracy and relevance. • Maintain a clear structure for both manual and automated test suites. • AI-driven Test Automation • Implement and utilize AI and intelligent agents to accelerate test generation. • Transition from manual test development to AI-driven automation solutions. • Test Framework Governance • Oversee maintenance and continuous improvement of existing frameworks. • Analyze failures/escapes, identify root causes, and implement solutions. • Drive a culture of quality through ongoing improvements in methodologies. • Test Reporting & Analytics • Design and develop reports to provide visibility into test suite performance. • Implement alerting systems for prompt failure notifications.
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