qa engineer (auto) for capital market applications

EPAM provides enterprise software products, open-source solutions, and accelerators through initiatives including EPAM SolutionsHub, EPAM Continuum, Test IO, and Reliable AI Lab.

• Drive the QA automation strategy for complex capital market applications;
• Design and evolve scalable test automation frameworks using Python;
• Define automation patterns, best practices, and quality gates;
• Drive the adoption of AI in test automation, including AI-assisted test generation, test analysis, and intelligent test execution;
• Design and implement testing strategies for AI/ML and agent-based systems;
• Develop API, integration, backend, and end-to-end automated tests;
• Integrate automation into CI/CD pipelines and improve test execution reliability;
• Partner with Engineering, Product, DevOps, and Architecture teams on testability and release readiness;
• Identify quality risks, analyze complex failures, and drive root-cause analysis;
• Conduct code reviews, reduce flaky tests, and improve automation coverage;
• Mentor QA engineers and promote automation and AI testing best practices.

• 5+ Years of experience in Quality Engineering or Test Automation, including senior-level experience;
• Advanced proficiency in Python and hands-on experience building automation frameworks;
• Hands-on experience with AI-assisted test automation and testing AI/ML or agent-based systems;
• Strong understanding of AI/ML architectures, agent orchestration, and reasoning patterns;
• Strong experience with API, integration, backend, and end-to-end testing;
• Solid understanding of CI/CD and DevOps practices;
• Experience with test architecture and scalable automation solutions;
• Strong communication, mentoring, and stakeholder management skills;
• English B2+;
• Nice to have: Background in capital markets or other complex financial platforms, experience with modern AI-powered QA and testing tools.

• No conditions specified