Closed listing
Performance Engineer
- Toronto, ON, Canada
Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Contract
- Closing date
- Experience
- 7+ years of hands-on experience in performance testing & engineering using JMeter and APM tools (Prometheus, Dynatrace, Datadog)
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
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
More about this job
Responsibilities
Lead end-to-end performance testing and engineering engagements, including gathering non-functional requirements, modeling workloads, developing JMeter scripts, and diagnosing performance issues. Define data strategies, measure end-user experience, and collaborate with cross-functional teams to improve system performance and observability.
Requirements
Requires 7+ years of hands-on performance testing and engineering experience with JMeter and application performance monitoring tools, along with strong scripting, Linux, analytical, and communication skills. Experience with large-scale distributed systems and technologies such as Azure, containers, databases, Java, Python, and Splunk is relevant; chaos engineering and observability are desirable.
Skills
- JMeter
- Dynatrace
- Performance Engineering
- Performance Testing
- Prometheus
- Datadog
- Workload Modeling
- Root Cause Analysis
- Scripting
- Linux
- Agile Methodologies
- Distributed Systems
- Azure
- Kubernetes
- MySQL
- Java
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
Keywords
- JMeter
- Dynatrace
- Prometheus
- Datadog
- Performance Testing
- Performance Engineering
- Non-Functional Requirements
- Workload Modeling
- Root Cause Analysis
- Scripting
- Linux
- Agile
- Distributed Systems
- Azure
- Docker
- ECS
- Kubernetes
- MySQL
- Java
- Python
- Splunk
- Chaos Engineering
- Observability
- Test Data Management
- UX Engine
- Mountebank
- Virtual Services