QA Engineer (Senior / Lead) ID35731

Job Description

AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! : )

WHAT YOU WILL DO

• Architect and oversee end-to-end test strategies across different layers in the testing pyramid;
• Define, evaluate, and monitor model validation criteria, including accuracy threshold, confidence scoring, fallback behaviors, etc.;
• Drive the automation of QA processes, ensuring robust, scalable processes for data ingestion, extraction, and classification;
• Lead the validation integration points between AI components and business logic, identifying risks and ensuring seamless operation;
• Own, maintain, and evolve the test infrastructure, specifically the CI / CD quality gates, data generation, and automated validation scripts;
• Establish and monitor key quality metrics aligned with the business goals, including turnaround time, confidence scores, and user corrections;
• Act as a strategic partner to Product and Engineering, and advocate for quality from design through delivery;
• Keep up with the latest AI tech and how to best apply the latest advancements to make the previously impossible possible for our customers;
• Sense of ownership, take ownership of code quality through exploratory and automated tests.

MUST HAVES

NICE TO HAVES

THE BENEFITS OF JOINING US

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Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field experience; 5+ years in AQA, Software Test Engineering, or related roles, including leadership responsibilities; Experience in AQA Javascript; Solid knowledge of software development life cycle (SDLC), Agile methodologies, and Quality Assurance or Quality Engineering methodologies; Proven experience building and scaling test automation frameworks (e.g. Pytest, Cypress, Selenium, Postman, etc.). Strong technical skills with REST APIs, data, pipelines, and backend services; Strong technical background with APIs, CI / CD pipelines, backend services, and cloud environments (AWS, Azure); Exceptional attention to detail, with a mindset for building robust systems that catch issues early and protect the customer experience; Demonstrated fast, proactive learning skills, especially crucial in the rapidly changing field of AI; Uppper-Intermediate English level.