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Performance Optimization Engineer

2 months ago

Old Toronto, Ontario, Canada Highbrow LLC Full time

Job Title: Performance Engineer

Company: Highbrow LLC

Job Location: Toronto, ON (2 days/week onsite)

# Positions: 1

Employment Type: W2

Duration: Long term

Work Eligibility: All Work Authorizations are Permitted – No Visa Transfers

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

Key Responsibilities:

  1. Develop and implement comprehensive performance testing strategies and plans that align with project goals and timelines.
  2. Create and maintain performance test scripts utilizing JMeter and Java, ensuring they are efficient and scalable.
  3. Utilize monitoring tools such as Dynatrace, Datadog, and Splunk to analyze application performance, identifying bottlenecks and areas for enhancement.
  4. Conduct garbage collection analysis, heap and thread analysis, and other diagnostic procedures to troubleshoot performance challenges and provide actionable recommendations.
  5. Collaborate with development and operations teams to enhance performance tuning efforts, recommending optimizations to improve application efficiency and resource utilization.
  6. Provide architectural insights to ensure that application design and implementation are optimized for performance and reliability.
  7. Establish and promote performance engineering best practices, ensuring adherence across the team.
  8. Mentor junior performance engineers, aiding in their professional development and skill enhancement.
  9. Stay informed on the latest trends and tools in performance engineering, integrating relevant advancements into company practices.

Required Skills and Experience:

  1. 2-5 years of experience in performance engineering, focusing on performance testing and troubleshooting, with strong Java programming skills.
  2. Proficiency in performance engineering tools such as JMeter, Dynatrace, Datadog, and Splunk.
  3. Deep understanding of application architecture, with the ability to analyze and optimize performance across various levels.
  4. Experience with diagnostic techniques for performance issues, including GC analysis and heap/thread analysis.
  5. Familiarity with CI/CD tools like Jenkins and GitLab CI for automating performance testing.
  6. Knowledge of containerization technologies such as Docker and orchestration platforms like Kubernetes.
  7. Understanding of SQL and NoSQL databases, including performance optimization techniques.
  8. Experience with cloud platforms like Microsoft Azure for cloud-based application performance.
  9. Familiarity with load balancing techniques and content delivery networks (CDNs) for distributed application performance optimization.

Education:

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