Software Developer in Test (Performance and Scalability)

Tecsys Inc.; Montreal (administrative region); On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading supply chain solutions provider in Montreal seeks a Performance and Scalability Analyst. The ideal candidate will have over 5 years of performance engineering experience, specifically within logistics and automation technology environments. Responsibilities include designing performance tests, analyzing system bottlenecks, and offering solutions. This role emphasizes supply chain knowledge, requiring proficiency with tools like JMeter and Playwright, in addition to strong communication skills to drive improvements across collaborative teams.

Qualifications

• 5+ years of hands-on experience in performance and scalability testing.
• Strong ability to determine what to measure and interpret results.
• Experience with enterprise applications hosted in Kubernetes and AWS.

Responsibilities

• Design and execute performance and stress tests to publish key metrics.
• Analyze performance bottlenecks and drive root-cause analysis.
• Develop performance test plans and realistic workload models.

Skills

Performance and scalability testing

Performance engineering

Supply Chain / WMS domain knowledge

Communication skills

Problem-solving mindset

Tools

JMeter

Playwright

PostgreSQL

Python

AWS

DataDog

Job description

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 seeking a highly skilledPerformance and Scalability Analyst / Performance Testerwith5+ yearsof hands-on experience in performance and scale testing. The ideal candidate will have a strong background inperformance engineering (not just functional testing)and a proven ability to define, measure, and interpret performance metrics, design workload models, and drive root-cause analysis.

Strong Supply Chain and Warehouse Management (WMS) domain knowledge isrequired.You should understand how warehouse operations run in real environments and be able to translate WMS workflows into realistic performance scenarios.

This role is pivotal to ensuring theoptimalperformance and scalability of ourTecsysElite supply chain platform, hosted inKubernetes on AWS, and executed through our automation ecosystem leveragingJMeterandPlaywright.

Responsibilities:

• Design and execute performance, load, stress, and endurance tests and publish key metrics.

• Develop performance test plans and realistic workload models based onWMS workflowsand operational patterns.

• Build andmaintainreusable test assets usingJMeter (API)andPlaywright (UI workflow validation whenrequired).

• Analyze performance bottlenecks across application, PostgreSQL database, and Kubernetes/AWS infrastructure; drive root-cause analysis and recommendations.

• Leverage logs/metrics/APM tools (e.g.,Datadog) to validate regressions and confirm improvements.

Qualifications:

Experience:

• 5+ yearsof proven experience inperformance and scalability testing / performance engineering.

• Strong ability to independentlydeterminewhat to measure, how to execute, and how to interpret performance results.

• Strong Supply Chain / WMS domain knowledge (required)—understanding warehouse operations and common workflow variations.

• Experience working with enterprise applications inKubernetes and cloud environments (AWS preferred).

• Experience with tools such asJMeter, Playwright, and monitoring/APM tools (DataDogor equivalent).

Technical Skills:

• Strong hands-onexpertisewithJMeter(test design, correlation, parameterization, data-driven execution, and reporting/analysis).

• Experience withPlaywrightfor automating/validatingUI workflows (sanity and critical flows).

• ProficiencyinJavafor troubleshooting/testing and understanding application behavior.

• ProficiencyinPythonfor scripting, automation utilities, and analysis.

• Strong knowledge ofPostgreSQLand performance investigation approaches (slow queries, locks/contention, indexing, connections).

• Experience testingREST and SOAPservices.

• Familiarity withKubernetesandAWSconcepts relevant to performance and scalability.

Soft Skills:

• Strong communicationand collaboration skills with cross-functional teams.

• Proactive, structured problem-solving and root-cause mindset.

• Detail-oriented; able to manage multiple tasks and priorities.

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.