Lead Performance Testing Engineer

Cynet Systems•San Antonio, TX

About The Position

The Lead Performance Testing Engineer designs and leads performance testing strategy, frameworks, standards, and best practices across applications, APIs, microservices, and cloud platforms. The role develops and executes performance tests to help ensure application reliability and performance, integrates testing into CI/CD pipelines, and supports continuous performance monitoring and optimization. It also analyzes application, database, infrastructure, and network performance to identify bottlenecks and drive improvements. The position calls for expertise in performance engineering, capacity planning, site reliability engineering (SRE), root cause analysis, and performance tuning in distributed and cloud-native environments.

Requirements

  • Experience in performance testing or engineering.
  • Strong expertise in Apache JMeter.
  • Strong knowledge of performance engineering, capacity planning, site reliability engineering (SRE), root cause analysis, and performance tuning in distributed and cloud-native environments.

Nice To Haves

  • Excellent leadership, stakeholder management, and mentoring skills.
  • Experience in banking, financial services, or high-volume transaction systems.
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Experience with container technologies such as Docker and Kubernetes.
  • Experience with observability tools such as Dynatrace, Datadog, or AppDynamics.

Responsibilities

  • Design and lead performance testing strategy, frameworks, standards, and best practices across applications, APIs, microservices, and cloud platforms.
  • Develop and execute load, stress, endurance, scalability, volume, and capacity testing.
  • Integrate performance testing into CI/CD pipelines and support continuous performance monitoring and optimization.
  • Analyze application, database, infrastructure, and network performance to identify bottlenecks and drive performance improvements.
  • Use cloud platforms, container technologies, and observability tools for performance testing and analysis.
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