Lead QA Automation Engineer

EPAM Systems, Inc.; México; A distancia; MXN 900.000 - 1.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off

Learning & certification opportunities

LinkedIn Learning access

Descripción de la vacante

EPAM Systems, Inc. seeks a Lead QA Automation Engineer to safeguard the quality of an enterprise AI platform based on MCP Servers. You will define the QA approach, build Python-driven automated tests, and validate MCP protocol functions across tools, APIs, and integrations.

This role emphasizes leadership and collaboration with architects to ensure reliability and scalable testing. The ideal candidate has 5+ years in QA with hands-on API and integration testing, strong knowledge of distributed

Formación

• 5+ years in QA automation or test leadership.
• Hands-on Python for API and integration testing.
• Experience with MCP Protocol or similar architectures helpful.

Responsabilidades

• Shape QA strategy from product and architecture specs.
• Build Python-based automated test suites for MCP Servers and APIs.
• Validate MCP protocol functions, tool discovery, authentication, and integrations.
• Embed automated testing in CI/CD pipelines and monitor test failures.

Conocimientos

QA Automation

Python

API testing

CI/CD

Distributed systems

GenAI

MCP Protocol

Leadership

English communication

Educación

Bachelor's degree in CS/CE

Herramientas

GitHub

Kubernetes

Descripción del empleo

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.ResponsibilitiesExamine product and architectural specifications to shape the QA approach and establish testing scope for MCP-driven AI solutionsBuild and code Python-driven automated test suites covering MCP Servers, tools, resources, APIs, and their integrationsConfirm proper MCP protocol functioning, including tool discovery and execution, schema validation, error handling, authentication/authorization, and integration casesExamine agent-to-MCP-to-tool processes, addressing positive, negative, boundary, failure, and security-related test casesAssess the dependability, performance, scalability, and production viability of MCP servicesEstablish quality checkpoints and embed automated testing within CI/CD workflowsSpot potential quality concerns, dig into test failures, and partner with developers and architects to implement fixesRequirementsAt least 5 years of applicable experience, demonstrating the capacity to independently manage test strategy and quality assuranceA minimum of one year spent leading and overseeing development teamsThorough, practical familiarity with MCP Server/Model Context Protocol and its architectural foundationsSolid Python-based automation expertise, including hands-on API and integration testing workBackground in testing distributed backend infrastructure, APIs, microservices, and system integrationsStrong grasp of GenAI/LLM and agent-based architectures, covering agents, tools, prompts, and MCP-driven integrationsFamiliarity with CI/CD workflows and contemporary automated testing methodologiesSharp analytical thinking with the ability to convert requirements and architectural designs into thorough test scenariosExcellent English communication skills (B2 level or higher)Nice to haveWorking knowledge of GitHub for handling version control, team collaboration, and organizing test automation codeBackground using Kubernetes to test and confirm the functionality of containerized applications and servicesWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.