Senior/Lead QA Automation Engineer ID71661 at AgileEngine

Brazil

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for a Senior/Lead QA Automation Engineer to own and evolve automated testing frameworks, introduce AI-assisted QA practices, and define quality engineering strategy across an AI-driven product development environment. You will architect automation across the full testing stack — unit, integration, API, UI, performance, and security — integrate quality gates into CI/CD pipelines, design evaluation frameworks for LLM-based features, and mentor engineers in modern automation and AI-augmented workflows. WHAT YOU WILL DO - Own and evolve the organization’s automated testing framework and QA tooling ecosystem; - Define and standardize AI-assisted testing practices, including test case/data generation, coverage discovery, and responsible AI guardrails; - Implement intelligent test selection, regression analysis, and measurable quality metrics to optimize release quality and reduce risk; - Ensure AI-augmented tests remain deterministic, maintainable, production-ready, and supported by traceability, validation, and drift detection; - Architect and scale automation across unit, integration, API, UI, contract, performance, and security testing; - Champion modern testing principles, integrate automation into CI/CD, and enforce quality gates and release readiness criteria; - Design evaluation frameworks for AI-powered features, including prompt robustness, deterministic validation, and human-in-the-loop review where appropriate; - Lead root-cause analysis for systemic quality issues and continuously improve automation ROI and test effectiveness; - Mentor engineers on modern automation, AI-assisted workflows, prompt engineering, and review standards for AI-generated code; - Define and track QA KPIs, provide data-driven Go/No-Go recommendations, and improve testing strategy based on measurable outcomes; - Partner with Engineering, Product, Security, and DevOps to embed quality early, influence architecture, and integrate accessibility, security, and privacy testing throughout the SDLC. MUST HAVES - 5+ years of experience in software quality engineering, test automation, or SDET roles; - 3+ years leading automation strategy or serving as a senior technical QA authority; - Hands-on experience using AI tools for test generation, refactoring, and automation maintenance; - Experience evaluating LLM-based systems (prompt robustness, structured outputs, drift detection, and versioned regression suites); - Strong proficiency in at least one programming language (TypeScript, Java, Python, etc.) and modern test frameworks (e.g., Playwright, Cypress, Selenium); - Demonstrated experience designing, maintaining, and scaling test automation frameworks and CI/CD quality gates; - Strong understanding of distributed systems, HTTP lifecycle, and database querying (SQL/NoSQL); - Experience mentoring engineers and leading quality initiatives with measurable outcomes; - Upper-intermediate English level. NICE TO HAVES - Working knowledge of secure testing practices (OWASP Top 10) and performance testing strategy; - Familiarity with compliance, privacy, or regulated industry SaaS environments; - Experience implementing performance/load testing strategies; - Experience with accessibility testing strategy and tooling. PERKS AND BENEFITS - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: USD-based pay with education, fitness, and team activity budgets. - Exciting projects: Modern solutions with Fortune 500 and top product companies. - Flextime: Flexible schedule with remote and office options.