Lead Performance Engineer

Artech LLC

  • Austin, TX
  • 17 days ago
  • $50–$56 Per Hour

Highlights

The ideal candidate will lead the design and implementation of enterprise performance testing strategies for cloud-native and web applications, with hands-on expertise in Apache JMeter, LoadRunner, K6, Gatling, Dynatrace, DataDog , and API performance testing. We are seeking an experienced Lead Performance Engineer with 12+ years of expertise in performance engineering, performance testing, and application scalability.

Numbers & Facts

LocationAustin, TX
Salary$50–$56 Per Hour

Description

Request ID: 102241-1
Title: Lead Performance Engineer
Locations: Austin, TX

Duration: 06+ Months with Possible Extension.
Pay Range: $50-$56/Hour on W2/C2C (All inclusive)


We are seeking an experienced Lead Performance Engineer with 12+ years of expertise in performance engineering, performance testing, and application scalability. The ideal candidate will lead the design and implementation of enterprise performance testing strategies for cloud-native and web applications, with hands-on expertise in Apache JMeter, LoadRunner, K6, Gatling, Dynatrace, DataDog, and API performance testing.

The candidate should possess strong experience in performance monitoring, bottleneck analysis, CI/CD integration, and modern web technologies including Next.js. This role requires close collaboration with Development, QA, DevOps, and Architecture teams to ensure highly scalable, reliable, and performant applications.


Key Responsibilities

  • Lead end-to-end performance engineering initiatives for enterprise applications.
  • Design, develop, and execute performance testing strategies for web, API, and cloud-native applications.
  • Build and maintain performance test frameworks using Apache JMeter, LoadRunner, K6, and Gatling.
  • Develop and execute:
    • Load Testing
    • Stress Testing
    • Endurance (Soak) Testing
    • Scalability Testing
    • Volume Testing
  • Design and maintain automated performance test suites for Next.js applications.
  • Perform API performance testing for REST, SOAP, JSON, and XML services.
  • Analyze performance test results and identify application, infrastructure, and database bottlenecks.
  • Monitor application health and infrastructure using Dynatrace, DataDog, and APM tools.
  • Analyze CPU, Memory, JVM, Garbage Collection (GC), Network, Disk I/O, and Thread utilization.
  • Collaborate with Development, QA, DevOps, and Infrastructure teams to optimize system performance.
  • Integrate performance testing into CI/CD pipelines using Jenkins and Git.
  • Prepare detailed performance reports, dashboards, and recommendations.
  • Mentor junior performance engineers and establish performance testing best practices.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 12+ years of experience in Performance Testing and Performance Engineering.
  • Strong expertise in enterprise application performance testing.
  • Hands-on experience with JMeter and other performance testing tools.
  • Strong understanding of distributed systems and cloud applications.
  • Excellent analytical, troubleshooting, and communication skills.

Required Technical Skills

Performance Testing

  • Apache JMeter
  • LoadRunner
  • K6
  • Gatling
  • Performance Engineering
  • Load Testing
  • Stress Testing
  • Endurance Testing
  • Scalability Testing
  • Volume Testing

API Testing

  • REST APIs
  • SOAP
  • JSON
  • XML
  • API Performance Testing

Front-End Performance

  • Next.js
  • Web Performance Optimization
  • Browser Performance Testing

Performance Monitoring (APM)

  • Dynatrace
  • DataDog
  • JVM Monitoring
  • Garbage Collection (GC)
  • CPU & Memory Analysis
  • Thread Dumps
  • Heap Dumps
  • Server Logs
  • Network Performance Monitoring

DevOps & Automation

  • Jenkins
  • Git
  • CI/CD Pipelines
  • Performance Test Automation

Protocols

  • HTTP
  • HTTPS
  • TCP/IP

Preferred Skills

  • Microservices performance testing.
  • Kubernetes and Docker environments.
  • Cloud platforms (AWS, Azure, or GCP).
  • Grafana.
  • Prometheus.
  • Splunk.
  • ELK Stack.
  • SQL and database performance tuning.

Nice-to-Have Skills

  • Java
  • Groovy
  • Python
  • Shell Scripting
  • Terraform
  • Azure DevOps
  • GitHub Actions
  • OpenTelemetry

Mandatory Skills

  • Apache JMeter
  • Performance Engineering
  • LoadRunner
  • K6
  • Gatling
  • Dynatrace
  • DataDog
  • API Performance Testing (REST & SOAP)
  • Next.js Performance Testing
  • CI/CD (Jenkins, Git)
  • Performance Monitoring & Bottleneck Analysis
  • HTTP/HTTPS, JSON, XML
Company Benefits & Culture
  • Inclusive and diverse work environment
  • Opportunities for professional growth and development
  • Comprehensive health and wellness benefits
Appreciate your quick response and please feel free to reach me out for any query you may have.

Thanks

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