Lead QA Automation Engineer
- Hiring from
- Mexico
- Work type
- Remote
- Posted
- Sep 26, 2026
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Lead QA Automation Engineer
Remote in Mexico
Automated Testing in Python& 7 others
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Find me a jobWe 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