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Performance Engineering Specialist

1 month ago


Old Toronto, Ontario, Canada Highbrow LLC Full time

Job Title: Performance Engineer

Job ID: 2024-12639

Job Location: Remote (2 days/week onsite)

Key Technology: JMeter, Dynatrace, Datadog, Splunk, Java, Fiddler, SQL

Job Responsibilities:

  1. Develop, execute, and maintain performance test strategies and plans, ensuring alignment with project objectives and timelines.
  2. Design and create performance test scripts using JMeter, Java programming, and Fiddler, ensuring efficiency, maintainability, and scalability.
  3. Leverage tools such as Dynatrace, Datadog, and Splunk to monitor, analyze, and optimize application performance, identifying bottlenecks and potential areas of improvement.
  4. Perform GC analysis, heap and thread analysis, and other diagnostic activities to troubleshoot performance issues and provide actionable insights.
  5. Collaborate with development and operations teams to drive performance tuning efforts, recommending and implementing optimizations to improve application performance, stability, and resource utilization.
  6. Provide architecture knowledge and guidance to ensure application design and implementation are optimized for performance, scalability, and reliability.
  7. Establish and enforce performance engineering best practices, processes, and guidelines.
  8. Train and mentor junior performance engineers, helping them develop their skills and advance in their careers.
  9. Continuously research and stay up to date on the latest performance engineering tools, techniques, and industry trends.

Skills and Experience Required:

  1. 2-5 years of experience in performance engineering, focusing on performance testing, tuning, and troubleshooting.
  2. Strong programming skills in Java, with experience in JMeter scripting and Fiddler.
  3. Expertise in using performance engineering tools such as JMeter, Dynatrace, Datadog, and Splunk.
  4. In-depth knowledge of application architecture, including the ability to analyze and optimize performance at the system, database, and application levels.
  5. Experience with GC analysis, heap and thread analysis, and other diagnostic techniques for troubleshooting performance issues.
  6. Familiarity with Continuous Integration and Continuous Deployment (CI/CD) tools like Jenkins and GitLab CI.
  7. Knowledge of containerization technologies like Docker and orchestration platforms like Kubernetes.
  8. Knowledge of SQL and NoSQL databases, along with their performance optimization techniques.
  9. Experience with cloud platforms like Microsoft Azure.
  10. Knowledge of load balancing techniques and content delivery networks (CDNs).

Education:

Bachelor's degree in computer science, engineering, or a related field; or relevant experience.