QA Engineer

Medsien is the leading provider of scalable remote care management for a quality patient experience. Hundreds of organizations trust Medsien’s unparalleled technology solutions to implement exceptional remote care management programs, personalize every interaction, and improve the lives of the people who need it most. Based in San Francisco and venture-backed by top-tier investors, Medsien was founded to reimagine remote care management. 

More than 60% of all U.S. adults—over 150 million people—live with at least one chronic condition, which requires dedicated, ongoing medical support outside the four walls of their doctor’s office. And yet, only 20% of these patients have access to remote care from the comfort of their homes, putting their health at significant risk. Together, we can save lives and create a real impact. 

Medsien is a venture-backed healthcare SaaS company experiencing rapid growth and looking to expand our team. We are seeking an organized, motivated, and passionate Senior QA Engineer / Senior Software Test Engineer to join our team of talented and inspiring developers in a fast-paced environment. 

As a Senior QA Engineer / Senior Software Test Engineer, you'll be a part of the SW Engineering Team and collaborate closely with the Product Managers. We're looking for a candidate who will design and scale robust automation frameworks, help drive the adoption of AI-assisted and agentic approaches in our testing processes, and perform hands-on testing. You will have the opportunity to shape test automation practices and drive AI adoption in testing. 

This fully remote position is based in Istanbul under a contractor agreement with Medsien Inc.

As a Senior QA Engineer / Senior Software Test Engineer, you will:

• Contribute to the end-to-end test strategy for our web applications, from planning through release,
• Design, build, and maintain scalable test automation frameworks using Selenium and Playwright (Java),
• Integrate and maintain automated test suites in Jenkins CI/CD pipelines with GitHub-based workflows,
• Leverage AI tools effectively across the testing lifecycle: test design, test data generation, code review, and defect analysis, 
• Explore and apply agentic architectures (AI agents, multi-agent workflows) to automate and accelerate QA activities,
• Perform functional, regression, API, and exploratory testing,
• Track quality metrics and contribute to release readiness assessments,
• Participate in test code reviews,
• Collaborate closely with developers, product managers, and designers to embed quality throughout the development lifecycle,