Location : Remote / Hybrid
Employment Type : Full-time / Contract
Experience Level : Mid to Senior
About Us
We are building Definable Ai , a next-generation Python development product designed to streamline agent workflows, enhance automation, and provide robust developer experiences. To ensure our product meets the highest quality standards, we’re looking for a skilled QA Tester who is detail-oriented, proactive, and passionate about delivering bug-free software.
Role Overview
As a QA Tester , you will be responsible for testing our Agent MCP product, ensuring stability, performance, and seamless integration across workflows. You’ll design and execute test cases, perform manual and automated testing, and collaborate with developers to identify, document, and resolve defects.
Key Responsibilities
- Collaborate with product managers and developers to understand requirements and features.
- Design comprehensive test plans, test cases, and test scripts.
- Perform manual testing for new features and bug fixes.
- Develop and maintain automated test suites (Python / Pytest preferred).
- Conduct functional, regression, integration, and performance testing .
- Identify, document, and track bugs in a structured manner.
- Validate data handling, API responses, and workflows within Agent MCP.
- Work closely with the development team to reproduce issues and verify fixes.
- Ensure cross-platform compatibility (Linux, macOS, Windows if applicable).
- Contribute to continuous improvement of QA processes and tools.
Requirements
Proven experience as a QA Tester / Software Tester .Strong knowledge of Python and ability to write automated test scripts.Familiarity with Pytest, unittest, or similar frameworks .Experience testing APIs, microservices, and agent-based workflows .Hands-on experience with bug tracking tools (e.g., Jira, GitHub Issues, Linear).Solid understanding of CI / CD pipelines and QA integration.Knowledge of version control (Git).Excellent attention to detail and problem-solving skills.Strong communication and collaboration skills.Nice-to-Have
Experience with AI / agent frameworks, LLMs, or data workflows .Familiarity with containerization (Docker, Kubernetes) .Knowledge of cloud environments (AWS, GCP, Azure) .Exposure to performance / load testing tools.What We Offer
Opportunity to work on a cutting-edge Python product shaping the future of agent development.Flexible work environment (remote-friendly).Competitive compensation package.Collaborative and innovative team culture.Growth opportunities in QA automation, DevOps, and product engineering.