Job ID: 2024-12639
Job Location: Toronto, ON (2 days/week onsite)
Job Travel Location(s):
# Positions: 1
Employment Type: W2
Duration: Long term
# of Layers: 0
Work Eligibility: All Work Authorizations are Permitted – No Visa Transfers
Key Technology: JMeter, Dynatrace, Datadog, Splunk, Java, Fiddler, SQL
Job Responsibilities:
Develop, execute, and maintain performance test strategies and plans, ensuring that they align with project objectives and timelines.
Design and create performance test scripts using JMeter, Java programming, and Fiddler, ensuring that the scripts are efficient, maintainable, and scalable.
Leverage tools such as Dynatrace, Datadog, and Splunk to monitor, analyze, and optimize application performance, identifying bottlenecks and potential areas of improvement.
Perform GC analysis, heap and thread analysis, and other diagnostic activities to troubleshoot performance issues and provide actionable insights for resolving them.
Collaborate with development and operations teams to drive performance tuning efforts, recommending, and implementing optimizations to improve application performance, stability, and resource utilization.
Provide architecture knowledge and guidance to ensure that the application design and implementation are optimized for performance, scalability, and reliability.
Establish and enforce performance engineering best practices, processes, and guidelines, ensuring that they are consistently followed by the team.
Train and mentor junior performance engineers, helping them develop their skills and advance in their careers.
Continuously research and stay up to date on the latest performance engineering tools, techniques, and industry trends, and incorporate them into the company’s practices as appropriate.
Skills and Experience Required:
Requirements:
2-5 years of experience in performance engineering, with a focus on performance testing, tuning, and troubleshooting. Strong programming skills in Java, with experience in JMeter scripting and Fiddler.
Expertise in using performance engineering tools such as JMeter, Dynatrace, Datadog, and Splunk.
In-depth knowledge of application architecture, including the ability to analyze and optimize performance at the system, database, and application levels.
Experience with GC analysis, heap and thread analysis, and other diagnostic techniques for troubleshooting performance issues.
Continuous Integration and Continuous Deployment (CI/CD): Familiarity with CI/CD tools like Jenkins and GitLab CI is essential for automating performance testing in the software development lifecycle.
Containerization and orchestration: Knowledge of containerization technologies like Docker and orchestration platforms like Kubernetes is essential for optimizing application performance in containerized environments.
Database performance tuning: Knowledge of SQL and NoSQL databases, along with their performance optimization techniques, is essential for a performance engineer.
Cloud platforms: Experience with cloud platforms like Microsoft Azure is essential for performance engineers working on cloud-based applications.
Load balancing and content delivery: Knowledge of load balancing techniques and content delivery networks (CDNs) is essential for optimizing application performance in distributed environments.
Education:
Bachelor’s degree in computer science, engineering, or a related field; or relevant experience.
#J-18808-LjbffrPerformance Engineer • Toronto, ON, CA
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