Chief QA Automation Engineer

EPAM Systems, Inc.

México

A distancia

MXN 1.200.000 - 1.900.000

Jornada completa

Hace 9 días
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Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits
Paid time off and sick leave
LinkedIn Learning access

Descripción de la vacante

EPAM Systems, Inc. seeks a Chief QA Automation Engineer to own QA for an enterprise AI platform built around MCP Servers. You will craft the QA strategy, develop Python automation, and verify MCP protocol operation across tools, APIs, and integrations.

The role requires guiding and supervising development teams, strong Python automation, API testing, and CI/CD integration, with exposure to GenAI/LLM and distributed backends. Mexico-based position with global projects and healthcare benefits.

Formación

  • 7+ years of testing and QA experience with independent strategy ownership.
  • Experience with MCP Server/Model Context Protocol and its architectural design.
  • Hands-on Python automation for API and integration testing.
  • Familiarity with CI/CD pipelines and automated testing approaches.
  • Knowledge of GenAI/LLM and agent-driven architectures is a plus.

Responsabilidades

  • Review product and architecture to craft QA strategy and testing boundaries for MCP-based AI solutions.
  • Develop Python-based automated testing suites for MCP Servers, tools, APIs and integrations.
  • Verify MCP protocol operation including tool discovery, authentication, and integration testing.
  • Investigate agent-to-MCP-to-tool sequences across success, boundary, and security scenarios.
  • Set up quality gates and embed automated tests into CI/CD processes.

Conocimientos

Python automation
API testing
CI/CD
QA strategy
Distributed backend systems
GenAI/LLM

Herramientas

GitHub
Kubernetes

Descripción del empleo

We are looking for a Chief QA Automation Engineer to take ownership of quality assurance for an enterprise AI platform built around MCP (Model Context Protocol) Servers. This opportunity suits a technically driven professional who enjoys blending quality engineering expertise with exposure to emerging AI systems. You will hold a key responsibility in verifying the accuracy and stability of sophisticated, agent-oriented architectures. This position offers a unique opportunity to lay the groundwork for testing standards on an innovative AI platform right from the start.ResponsibilitiesReview product and architectural documentation to craft the QA strategy and define testing boundaries for AI solutions built on MCPDevelop and program Python-based automated testing suites spanning MCP Servers, tools, resources, APIs, and associated integrationsVerify accurate MCP protocol operation, encompassing tool discovery and execution, schema checks, error management, authentication/authorization, and integration testingInvestigate agent-to-MCP-to-tool sequences, covering successful, unsuccessful, boundary, breakdown, and security-focused test conditionsEvaluate the stability, performance, scalability, and readiness for production of MCP-based servicesSet up quality gates and weave automated testing directly into CI/CD processesIdentify emerging quality issues, analyze the root causes of test failures, and work alongside developers and architects to resolve themRequirementsA minimum of 7 years of relevant experience, showcasing the ability to independently drive test strategy and quality assurance effortsAt least 2 years spent guiding and supervising development teamsIn-depth, practical understanding of MCP Server/Model Context Protocol and its structural designStrong hands-on Python automation background, including direct experience with API and integration testingExperience validating distributed backend systems, APIs, microservices, and their interconnectionsSolid comprehension of GenAI/LLM and agent-driven architectures, including agents, tools, prompts, and MCP-related integrationsExposure to CI/CD pipelines and current automated testing approachesKeen analytical capabilities with the skill to translate requirements and architectural concepts into detailed test scenariosExcellent English communication skills (B2 level or higher)Nice to havePractical familiarity with GitHub for managing version control, enabling team collaboration, and structuring test automation codeExperience leveraging Kubernetes to validate and test the behavior 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.
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