Вакансія QA Engineer (EST hours)

Skills

• JavaScript
• SDLC
• Agile
• Pytest
• Cypress
• Selenium
• Postman
• Rest API
• AWS
• Azure
• Generative AI

Опис вакансії

What you will do

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

Must haves

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience;
• 2–3 years of experience in AQA, Software Test Engineering, or related roles, including leadership responsibilities;
• Experience in AQA JavaScript;
• Solid knowledge of the software development life cycle (SDLC), Agile methodologies, and QA/QE best practices;
• Proven experience building and scaling test automation frameworks (e.g., Pytest, Cypress, Selenium, Postman);
• Strong technical skills in working with REST APIs, data pipelines, backend services, and cloud platforms (e.g., AWS, Azure);
• Exceptional attention to detail and a mindset for building robust systems that catch issues early and protect the user experience;
• Demonstrated ability to learn quickly and proactively – especially important in the rapidly evolving field of AI;
• Upper-Intermediate English level.

Nice to haves

• Experience testing AI/ML systems in production environments;
• Familiarity with GenAI model evaluation metrics;
• Experience setting up proactive monitoring and alerting systems to detect model drift, performance degradation, or workflow failures.