Performance Engineer
- Toronto, ON
- Hybride
- Publié 18 sept. 2026
- 1 poste
Ouvre un site externe
- Type d’emploi
- Contrat
- Niveau d’expérience
- Expérimenté · 5+ ans
- Postuler avant le
- 15 oct. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Mid-Senior level
- Mode de candidature
- La candidature directe est offerte
Résumé du poste
The Performance Engineer will lead large-scale performance testing and engineering engagements using JMeter and APM tools. They will be responsible for root cause analysis, workload modeling, and collaborating with cross-functional teams to optimize system performance.
Détails du poste
Role : Performance Engineer Location : Toronto, ON (Hybrid) Top 3 skills required for this role: Jmeter Dynatrace Performance Engineering Job Description/ Responsibilities: 7+ years of hands-on experience in performance testing & engineering using JMeter and APM tools (Prometheus, Dynatrace, Datadog) Excellent understanding of concepts like NFR gathering, Workload modelling, Root Cause Analysis of performance problems Track record of leading successful large-scale engagements with end-to-end Performance testing/engineering experience Proficiency in various scripting techniques, develop custom codes for enhancing and customizing performance testing scripts and scenarios using JMeter Demonstrate excellent Linux fundamentals and solid understanding of diagnosing system utilization Experience working with Agile methodologies Possess excellent documentation and communication skills, with the ability to influence others Experience working with large scale distributed systems & large data volumes Experience with some of the following technologies and services: Cloud based Infrastructure as a Service (especially Azure) Container based service schedulers (e.g., Docker, ECS, Kubernetes, etc.) MySQL, Java, Python Log management tools (Splunk) Strong analytical and problem-solving skills, with the ability to diagnose performance issues and propose effective solutions Experience with Chaos Engineering & Observability is nice to have to transition towards an SRE role Able to define data strategy and collaborate with the Test Data Management team to generate on-demand data Expertise in adopting in-house client-side performance testing tools like UX Engine to measure end user experience, wherever applicable Experience in developing virtual services using Mountebank to remove backend/third-party dependencies Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and technology/business stakeholders We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf
Ce que vous ferez
The Performance Engineer will lead large-scale performance testing and engineering engagements using JMeter and APM tools. They will be responsible for root cause analysis, workload modeling, and collaborating with cross-functional teams to optimize system performance.
Exigences
Candidates must have 7+ years of hands-on experience in performance testing and engineering with proficiency in scripting and Linux fundamentals. A strong understanding of distributed systems, cloud infrastructure, and container-based service schedulers is required.
Compétences indiquées
- Microsoft Azure · Souhaitée
- Kubernetes · Souhaitée
- MySQL · Souhaitée
- Splunk · Souhaitée
- Docker · Souhaitée
- Agile · Souhaitée
- Linux · Souhaitée
- Java · Souhaitée
- Python · Souhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Jmeter
- Dynatrace
- Performance Engineering
- Prometheus
- Datadog
- Linux
- Agile
- Azure
- Docker
- Kubernetes
- MySQL
- Java
- Python
- Splunk
- Chaos Engineering
- Mountebank
Domaines d’emploi
- Technology
- Software
- Engineering
- Data & Analytics
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