Having recognized the advantages of remote work, such as improved employee morale, increased productivity, and positive impacts on both employee wellbeing and the environment, we are proud to be a digital-first company. Our digital-first work environment, combined with our conveniently located offices and collaborative workspaces, provides our team with the freedom and flexibility to work in the most productive way for them.
About us
Tecsys is a fast-growing innovator offering supply chain solutions to industry leading healthcare systems, hospitals, and pharmacy businesses to distributors, retailers, and 3PLs. We work with industry leaders to transform their supply chains through technology. If you thrive on tackling interesting challenges with continuous learning opportunities then Tecsys could be a good fit for you!
About the Role
We are looking for a hands-on Performance Tester with strong experience investigating performance issues across cloud-based enterprise applications.
This role goes beyond running load tests. We are looking for someone who can be given an unexplained performance issue and independently determine where to investigate - application, Kubernetes/AWS infrastructure, JVM, logs, or PostgreSQL - and drive the problem through to root cause.
You will work on Tecsys Elite, our enterprise supply chain platform supporting warehouse, healthcare, hospital, and pharmacy operations.
What You’ll Do
- Design and execute performance, load, stress, scalability, and endurance tests.
- Build realistic workload models and performance test plans.
- Investigate performance issues across Kubernetes, AWS, Java/JVM, application logs, and PostgreSQL.
- Build and maintain performance tests using JMeter and critical UI validations using Playwright.
- Analyze pod/node metrics, resource limits, autoscaling, JVM behavior, slow queries, execution plans, locks, and indexing.
- Use monitoring and APM tools such as Datadog to identify regressions and validate improvements.
- Create and troubleshoot test environments and large-scale test datasets.
- Work directly with developers to identify issues and verify fixes.
- Use Python for scripting, automation, and analysis.
Qualifications:
- 5+ years of hands-on performance or scalability engineering experience.
- Recent experience testing applications in cloud and Kubernetes environments.
- Strong hands-on experience with JMeter.
- Experience with Playwright and APM/monitoring tools such as Datadog.
- Practical knowledge of AWS, Kubernetes, JVM performance, and PostgreSQL troubleshooting.
- Experience reviewing database execution plans and investigating slow queries.
- Comfortable with Linux, Git, Python, and modern IDEs.
- Able to independently configure and troubleshoot test environments and data.
- Strong problem-solving and root-cause analysis skills.
- Experience with WMS, supply chain, healthcare, pharmacy, SRE, platform engineering, or backend development is an asset.
At Tecsys, we are committed to fostering a diverse and inclusive workplace where all employees feel valued, respected, and empowered. We believe that diversity drives innovation and strengthens our ability to deliver exceptional solutions. We welcome and encourage applicants from all backgrounds, experiences, and perspectives to join our team.
Tecsys is an equal opportunity employer. Accommodation is available for applicants selected for an interview.
NB: if you are applying to this position, you must be a Canadian Citizen or a Permanent Resident of Canada, OR, have a valid Canadian work permit.
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A Note on Our Hiring Process: We do not use AI to automatically screen or reject candidates. However, we do use specific screening questions to prioritize the most relevant applications for human review.
At Tecsys, we welcome the thoughtful use of AI tools to help you prepare your application, for example, to improve clarity, organize your resume, or practice interview responses. However, we ask that all information you provide reflects your real experience, and that any assessments or written submissions represent your own work and thinking.
During interviews, we expect candidates to engage without the use of AI tools, scripts, or real-time assistance. Authentic, direct conversation helps us get to know how you think, collaborate, and communicate. AI can support your preparation, but it shouldn’t speak or act on your behalf. We genuinely want to meet you.
