Performance Tester with Jmeter and AI Exp - Visa Independent Only

Shrive Technologies LLC•Littleton, CO
•$50 - $50

About The Position

We are seeking a Performance Tester with extensive experience in performance testing and engineering. The role involves designing and executing comprehensive performance engineering strategies across various systems including web, API, database, cloud, and distributed environments. You will be responsible for building and maintaining robust performance test frameworks to handle load, stress, spike, endurance, and scalability testing. A key aspect of this role is the hands-on experience with AI-assisted or AI-powered engineering tools for performance analysis, test automation, observability, or operational intelligence. Strong analytical, troubleshooting, and communication skills are essential for success in this position.

Requirements

  • 8+ years of experience in performance testing/performance engineering.
  • Strong experience with performance testing tools such as JMeter, k6, BlazeMeter.
  • Hands-on experience with AI-assisted or AI-powered engineering tools used in performance analysis, test automation, observability, or operational intelligence.
  • Strong understanding of system architecture, distributed systems, microservices, APIs, databases, caching, messaging systems, and cloud-native platforms.
  • Experience analyzing performance metrics across application, infrastructure, and database layers.
  • Proficiency in one or more scripting/programming languages such as Python, Java, JavaScript, Groovy, or Shell.
  • Experience with monitoring/observability tools such as Datadog, Splunk, Grafana, AppDynamics.
  • Familiarity with CI/CD and DevOps tools.
  • Strong analytical, troubleshooting, and communication skills.
  • Visa Independent Only

Responsibilities

  • Design and execute end-to-end performance engineering strategies for web, API, database, cloud, and distributed systems.
  • Build and maintain performance test frameworks for load, stress, spike, endurance, and scalability testing.
  • Analyze performance metrics across application, infrastructure, and database layers.
  • Utilize AI-assisted or AI-powered engineering tools in performance analysis, test automation, observability, or operational intelligence.
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