Quality Engineer 3

The CompanyServing the People Who Serve the People Granicus (https://himalayas.app/companies/granicus) is driven by the excitement of building, implementing, and maintaining technology that is transforming the Govtech industry by bringing governments and its constituents together. We are on a mission to support our customers with meeting the needs of their communities and implementing our technology in ways that are equitable and inclusive. Granicus (https://himalayas.app/companies/granicus) has consistently appeared on the GovTech 100 list over the past 5 years and has been recognized as the best companies to work on BuiltIn. Over the last 25 years, we have served 5,500 federal, state, and local government agencies and more than 300 million citizen subscribers power an unmatched Subscriber Network that use our digital solutions to make the world a better place. With comprehensive cloud-based solutions for communications, government website design, meeting and agenda management software, records management, and digital services, Granicus (https://himalayas.app/companies/granicus) empowers stronger relationships between government and residents across the U.S., U.K., Australia, New Zealand, and Canada. By simplifying interactions with residents, while disseminating critical information, Granicus (https://himalayas.app/companies/granicus) brings governments closer to the people they serve—driving meaningful change for communities around the globe. Want to know more? See more of what we do here.Job Summary We are seeking a Quality Engineer (QE3) with strong expertise in automation and emerging AI-driven testing practices This role focuses on building scalable test automation frameworks, validating modern AI/GenAI systems, and driving intelligent quality engineering practices across the software development lifecycle who delivers high product quality through an AI-augmented quality practice—combining intelligent AI based - Test design, Automation, Execution, Accessibility and Performance testing.What Your Impact Will Look LikeCore Responsibilities Design and implement AI-enabled test automation frameworks using modern tools such as Cursor, Playwright...etc Leverage AI capabilities to generate test cases from requirements, user stories, and acceptance criteria Build solutions for natural language–to–automation script generation Validate AI/GenAI-based features for correctness, safety, and reliability Perform prompt-based validation and identify issues such as hallucinations, inconsistent outputs, and edge cases Ensure data integrity and isolation in AI-driven workflows AI-Driven Testing & Prompt Engineering Demonstrate strong proficiency in prompt engineering to effectively leverage AI tools for accelerating test design, execution, and analysis. Design and implement AI-driven testing solutions using techniques such as Skills, Cursor Rules, and Retrieval-Augmented Generation (RAG) to improve accuracy and efficiency. No Escaped defect for production releases AI -Driven Test Automation & Framework Design Build and maintain scalable, end-to-end automated testing frameworks to validate AI model-based integrations across frontend UI, backend microservices, and data layers. Ensure frameworks are robust, reusable, and aligned with system architecture and performance needs. Strong hands-on experience with Playwright (TypeScript/JavaScript) Knowledge of automation design patterns (Page Object Model, fixtures) CI/CD pipelines AI-CI/CD & Production Monitoring for AI integrated applications Establish and optimize AI based CI/CD pipelines, ensuring continuous validation of models and integration workflows. Implement effective production monitoring strategies to track model performance, detect anomalies, and ensure system reliability. AI-Powered Performance Testing Experience with tools such as JMeter or k6 Design AI driven Load and Performance Testing Understanding of metrics such as response time, throughput, error rate, and concurrency DevOps & Tools Experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps) Proficiency with Git and version control workflows Basic understanding of microservices architecture and cloud environments Cross-Functional Collaboration Act as a bridge between Data Scientists, Software Engineers, and Product Managers to ensure seamless delivery of AI-enabled features. Drive alignment on quality goals, testing strategies, and release readiness. Advanced Problem Solving & Root Cause Analysis Identify and analyze complex issues such as model drift, data inconsistencies, and system failures. Recommend architectural or data-driven improvements rather than limiting contributions to defect reporting. Nice to Have Experience testing AI/GenAI-based products or features Familiarity with AI frameworks, workflows, or agent-based systems Experience building or contributing to internal QA tools or platforms Exposure to test analytics, quality metrics, and data-driven QA practices You Will Love This