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Performance Test Engineer

  • Toronto, ON, Canada

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Posting language
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Original job description

Position: Performance Test Engineer

Location: Toronto, On - Hybrid

Skills:

  1. JMeter
  1. Dynatrace
  1. Performance Engineering

Job Description:

  • 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

Regards

Patrick Fernandez

Talent Acquisition Group - Strategic Recruitment Manager

More about this job

Responsibilities

Lead end-to-end performance testing and engineering engagements, including workload modeling, scripting, and diagnosing performance issues in large-scale distributed systems. Define data strategies, collaborate with test data teams, and use observability and client-side tools to assess user experience and improve system performance.

Requirements

Requires hands-on performance testing and engineering experience with JMeter and APM tools, strong Linux fundamentals, scripting ability, and expertise in analyzing performance problems. Candidates should have experience with Agile teams, large-scale systems, documentation, and cross-functional collaboration; cloud, containers, chaos engineering, and virtual services are also relevant.

Skills

  • JMeter
  • Dynatrace
  • Performance Engineering
  • Performance Testing
  • Prometheus
  • Datadog
  • Workload Modeling
  • Root Cause Analysis
  • Linux
  • Agile
  • Azure
  • Kubernetes
  • MySQL
  • Java
  • Python
  • Splunk

Visa sponsorship

Not detected in the job text

Hiring contact

Patrick Fernandez

Categories

  • Technology
  • Software
  • Engineering
  • Data & Analytics

Keywords

  • JMeter
  • Dynatrace
  • Prometheus
  • Datadog
  • Performance Testing
  • Performance Engineering
  • Non-Functional Requirements
  • Workload Modeling
  • Root Cause Analysis
  • Linux
  • Agile
  • Distributed Systems
  • Azure
  • Infrastructure as a Service
  • Docker
  • Amazon ECS
  • Kubernetes
  • MySQL
  • Java
  • Python
  • Splunk
  • Chaos Engineering
  • Observability
  • Test Data Management
  • UX Engine
  • Mountebank
  • Virtual Services

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