About the job
At Tecsys, we embrace the benefits of remote work, fostering an environment that enhances employee morale and productivity while positively impacting well-being and the environment. As a digital-first organization, we combine remote flexibility with collaborative office spaces, empowering our team to thrive in their most productive environments.
About Tecsys
Tecsys is a dynamic and rapidly expanding innovator in supply chain solutions, dedicated to industry-leading healthcare systems, hospitals, pharmacy businesses, distributors, retailers, and 3PLs. Our mission is to transform supply chains through cutting-edge technology, and we invite you to join us if you are passionate about solving complex challenges and eager to learn continuously!
Role Overview
We are on the lookout for a talented Performance and Scalability Analyst / Performance Tester with over 5 years of hands-on experience in performance and scalability testing. The ideal candidate will possess a strong foundation in performance engineering (not just functional testing) and demonstrate the ability to define, measure, and interpret performance metrics, design workload models, and conduct thorough root-cause analysis.
A robust understanding of Supply Chain and Warehouse Management Systems (WMS) is essential. You should be adept at translating real-world warehouse operations into practical performance testing scenarios.
This position is crucial to optimizing the performance and scalability of our Tecsys Elite supply chain platform, which is hosted on Kubernetes in AWS and executed through our automation ecosystem utilizing JMeter and Playwright.
Key Responsibilities:
- Design and execute performance, load, stress, and endurance tests, publishing key metrics.
- Develop comprehensive performance test plans and realistic workload models based on WMS workflows and operational patterns.
- Build and maintain reusable test assets using JMeter (API) and Playwright (UI workflow validation as needed).
- Analyze performance bottlenecks across applications, PostgreSQL databases, and Kubernetes/AWS infrastructure; drive root-cause analysis and provide actionable recommendations.
- Utilize logs, metrics, and APM tools (e.g., Datadog) to validate regressions and confirm improvements.

