• Own the end-to-end QA automation strategy • Build and scale robust automation frameworks using Python and pytest • Integrate automated tests into Azure DevOps CI/CD pipelines • Embed shift-left testing and promote quality through early collaboration with developers • Create clear, well-structured test plans, cases, and documentation • Track test coverage, automation metrics, and overall QA effectiveness • Identify and troubleshoot complex issues across data-heavy systems • Own testing of AI/NLP components and leverage AI-assisted QA tools

• Design, develop, and maintain scalable and reliable automated test frameworks across UI, API, and performance layers. • Build and execute API, UI, and performance tests using automation frameworks like Selenium, Playwright, Appium, Rest Assured, or JMeter. • Apply BDD (e.g., Cucumber) or TDD approaches with maintainable and reusable test design patterns • Integrate automated testing into CI/CD pipelines, ensuring fast and reliable feedback • Improve test reliability by reducing flakiness and optimizing execution time • Enable parallel test execution and environment scalability • Ensure end-to-end test coverage by creating and maintaining comprehensive test cases, test plans, and test scripts. • Perform exploratory and risk-based testing to uncover complex defects and conduct root cause analysis and deep debugging of failures and defects • Analyze logs, data, and system behavior to identify hidden quality risks • Validate end-to-end workflows and complex integrations • Identify, document, and track defects using JIRA, Azure DevOps, or similar tools. • Collaborate with developers to improve testability and code quality • Write clean, maintainable, and scalable automation code following engineering best practices • Perform database validation using SQL/NoSQL

• Design, develop, and maintain automated end-to-end (E2E) test suites using Playwright and TypeScript • Expand automation coverage across critical workflows, features, APIs, and integrations • Build and execute API tests to validate backend services and business logic • Improve test reliability by identifying and reducing flaky tests • Integrate and optimize automated tests within CI/CD pipelines • Collaborate with cross-functional teams to improve testability and product quality • Convert manual QA test cases into scalable automated tests • Validate complex scenarios such as authentication, authorization, role-based access, and multi-tenant environments • Debug issues across frontend, backend, and testing environments

Role Description We invite an experienced and proactive Senior Test Automation Engineer to join our team. You’ll ensure the quality and reliability of data pipelines and AI/NLP workflows that support a robust logistics intelligence platform. You’ll design and maintain scalable automation frameworks that accelerate development, provide rapid feedback, and enable the team to confidently deliver high-quality AI capabilities. Qualifications - 5+ years of QA automation experience in data-intensive environments - Strong Python skills for building and scaling automation frameworks (pytest or similar) - Proven ability to design and own end-to-end automation strategies from scratch - Hands-on experience with Azure services and Azure DevOps pipelines - Strong background in API testing and CI/CD integration - Knowledge of containerized test environments (Docker) - Ability to create clear, well-structured test documentation and metrics - Manual testing expertise - Excellent client-facing communication and collaboration skills - Upper-Intermediate English level Requirements - Desirable: AI/NLP testing experience - Desirable: Deepeval experience Key Responsibilities - Lead QA automation for complex data and AI/NLP workflows, ensuring reliable and scalable solutions. - Own the end-to-end QA automation strategy. - Build and scale robust automation frameworks using Python and pytest. - Integrate automated tests into Azure DevOps CI/CD pipelines. - Embed shift-left testing and promote quality through early collaboration with developers. - Create clear, well-structured test plans, cases, and documentation. - Track test coverage, automation metrics, and overall QA effectiveness. - Identify and troubleshoot complex issues across data-heavy systems. - Own testing of AI/NLP components and leverage AI-assisted QA tools. Benefits - 99.9% remote — you can work from anywhere in the world. - 30 paid days off per year to use however you like — vacations, holidays, or personal time. - 5 paid sick days, up to 60 days of medical leave, and up to 6 paid days off per year for major family events like weddings, funerals, or the birth of a child. - Partially covered health insurance after the probation, plus a wellness bonus for gym memberships, sports nutrition, and similar needs after 6 months. - We pay in U.S. dollars and cover all approved overtime. - Join English lessons and Dev.Pro University programs, and take part in fun online activities and team-building events. Next Steps - Submit a CV in English - Intro call with a Recruiter - Internal interview - Offer