Senior QA Automation Engineer

We are looking for a Senior QA Automation Engineer to ensure the quality of an enterprise AI solution built around MCP (Model Context Protocol) Servers. This role is well suited for a technically curious professional who enjoys working at the intersection of quality engineering and emerging AI architectures. You will play a critical part in validating the reliability and correctness of complex, agent-driven systems. This is a great opportunity to shape testing practices for a cutting-edge AI platform from the ground up. Analyze product and architecture requirements to define the QA strategy and determine test coverage for MCP-based AI solutions Design and implement Python-based automated tests for MCP Servers, tools, resources, APIs, and integrations Validate MCP protocol behavior, including tool discovery and execution, schemas, error handling, authentication/authorization, and integration scenarios Test agent-to-MCP-to-tool workflows, covering positive, negative, edge, failure, and security scenarios Validate the reliability, performance, scalability, and production readiness of MCP services Define quality gates and integrate automated testing into CI/CD pipelines Identify quality risks, investigate test failures, and collaborate closely with developers and architects to drive improvements A minimum of 3 years of relevant experience with the ability to independently own test strategy and quality Deep, hands-on knowledge of MCP Server/Model Context Protocol and its underlying architecture Strong Python automation skills, including experience with API and integration testing Experience testing distributed backend systems, APIs, microservices, and integrations Good understanding of GenAI/LLM and agentic architectures, including agents, tools, prompts, and MCP-based integrations Experience with CI/CD and modern automated testing practices Strong analytical skills with the ability to translate requirements and architecture into comprehensive test scenarios Excellent English communication skills (B2 level or higher) Familiarity with GitHub for version control, collaboration, and managing test automation code Experience with Kubernetes for testing and validating containerized applications and services