Chief QA Automation Engineer

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.

Responsibilities

• Review product and architectural documentation to craft the QA strategy and define testing boundaries for AI solutions built on MCP
• Develop and program Python-based automated testing suites spanning MCP Servers, tools, resources, APIs, and associated integrations
• Verify accurate MCP protocol operation, encompassing tool discovery and execution, schema checks, error management, authentication/authorization, and integration testing
• Investigate agent-to-MCP-to-tool sequences, covering successful, unsuccessful, boundary, breakdown, and security-focused test conditions
• Evaluate the stability, performance, scalability, and readiness for production of MCP-based services
• Set up quality gates and weave automated testing directly into CI/CD processes
• Identify emerging quality issues, analyze the root causes of test failures, and work alongside developers and architects to resolve them

Requirements

• A minimum of 7 years of relevant experience, showcasing the ability to independently drive test strategy and quality assurance efforts
• At least 2 years spent guiding and supervising development teams
• In-depth, practical understanding of MCP Server/Model Context Protocol and its structural design
• Strong hands-on Python automation background, including direct experience with API and integration testing
• Experience validating distributed backend systems, APIs, microservices, and their interconnections
• Solid comprehension of GenAI/LLM and agent-driven architectures, including agents, tools, prompts, and MCP-related integrations
• Exposure to CI/CD pipelines and current automated testing approaches
• Keen analytical capabilities with the skill to translate requirements and architectural concepts into detailed test scenarios
• Excellent English communication skills (B2 level or higher)

Nice to have

• Practical familiarity with GitHub for managing version control, enabling team collaboration, and structuring test automation code
• Experience leveraging Kubernetes to validate and test the behavior of containerized applications and services