Lead QA Automation Engineer

We are seeking a Lead QA Automation Engineer to safeguard the quality of an enterprise AI platform centered on MCP (Model Context Protocol) Servers. This position is ideal for a technically inquisitive individual who thrives at the crossroads of quality assurance and cutting-edge AI design. You will take on a vital role in confirming the dependability and accuracy of intricate, agent-based systems. This is a fantastic chance to establish testing frameworks for a forward-thinking AI platform from the very beginning.

Responsibilities

• Examine product and architectural specifications to shape the QA approach and establish testing scope for MCP-driven AI solutions
• Build and code Python-driven automated test suites covering MCP Servers, tools, resources, APIs, and their integrations
• Confirm proper MCP protocol functioning, including tool discovery and execution, schema validation, error handling, authentication/authorization, and integration cases
• Examine agent-to-MCP-to-tool processes, addressing positive, negative, boundary, failure, and security-related test cases
• Assess the dependability, performance, scalability, and production viability of MCP services
• Establish quality checkpoints and embed automated testing within CI/CD workflows
• Spot potential quality concerns, dig into test failures, and partner with developers and architects to implement fixes

Requirements

• At least 5 years of applicable experience, demonstrating the capacity to independently manage test strategy and quality assurance
• A minimum of one year spent leading and overseeing development teams
• Thorough, practical familiarity with MCP Server/Model Context Protocol and its architectural foundations
• Solid Python-based automation expertise, including hands-on API and integration testing work
• Background in testing distributed backend infrastructure, APIs, microservices, and system integrations
• Strong grasp of GenAI/LLM and agent-based architectures, covering agents, tools, prompts, and MCP-driven integrations
• Familiarity with CI/CD workflows and contemporary automated testing methodologies
• Sharp analytical thinking with the ability to convert requirements and architectural designs into thorough test scenarios
• Excellent English communication skills (B2 level or higher)

Nice to have

• Working knowledge of GitHub for handling version control, team collaboration, and organizing test automation code
• Background using Kubernetes to test and confirm the functionality of containerized applications and services

Benefits

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn