QA Engineer – Agentic Gateway Testing

We are looking for a QA Engineer specializing in Agentic Gateway Testing to ensure the reliability, security, performance, and observability of agentic workflows and tool integrations. The role focuses on testing MCP-based interactions, multi-step agent workflows, authorization controls, performance characteristics, and end-to-end traceability across an enterprise agentic platform.

What project we have for you

About the Client

Our client is a large global enterprise operating across multiple markets, with a complex technology landscape and a strong focus on digital transformation and innovation. The organization is actively investing in modern cloud, data, and AI capabilities to enable scalable, secure, and highly automated solutions across its business.

About the Project

The project is focused on building an enterprise-grade AI Agent Platform from the ground up. The platform will provide a standardized foundation for developing, deploying, orchestrating, securing, and observing AI agents across multiple teams and use cases.

The initiative covers the full agent lifecycle and brings together agent orchestration, observability, security, governance, integrations, evaluation, and platform engineering. Engineers joining the project will have an opportunity to influence key architectural and technical decisions and contribute to a new platform rather than maintaining an existing solution.

What you will do

• Design and execute tests for agentic workflows, including tool discovery, tool invocation, and multi-step agent interactions.
• Validate MCP protocol behavior, including tool list aggregation, tool-call routing, and streaming responses.
• Test authorization and authentication controls, including unauthorized tool-access scenarios and policy-enforcement validation.
• Perform performance testing for agentic workloads, including tool-discovery latency, concurrent agent sessions, and agent-to-agent communication latency.
• Build and maintain automated tests in Python using pytest, including asynchronous testing, mock MCP servers, and agent workflow simulations.
• Validate agentic observability, including trace completeness, agent-step logging, and audit trails.
• Perform end-to-end testing across agent, gateway, and tool interaction flows.
• Identify reliability, security, and performance issues in complex agent workflows and support their resolution.

What you need for this

What it’s like to work at Intellias

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.

We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.

We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.