Performance Tester with Jmeter and AI Exp - Visa Independent Only

Shrive Technologies LLC; Denver (CO); On-site; USD 120,000 - 160,000; Full time

Job summary

Shrive Technologies LLC seeks an expert in performance testing and engineering to design and execute end-to-end performance strategies for web, API, database, and cloud systems. You will build robust test frameworks to support load, stress, spike, endurance, and scalability testing across distributed architectures.

Candidate should have 8+ years of experience, strong scripting capabilities, and proficiency with monitoring tools like Datadog, Splunk, Grafana, and AppDynamics.

Qualifications

• 8+ years in performance testing/performance engineering.
• Design and execute end-to-end performance engineering strategies for web, API, database, cloud, and distributed systems.

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.
• Work with monitoring/observability tools to improve performance insights.
• Collaborate with teams using CI/CD and DevOps practices.
• Bring strong troubleshooting and communication skills to identify bottlenecks.

Skills

Performance testing

Performance engineering

Scripting languages

Analytical troubleshooting

Communication

Tools

JMeter

k6

BlazeMeter

Datadog

Splunk

Grafana

AppDynamics

CI/CD tools

Job description

8+ years of experience in performance testing/performance engineering.

• 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.
• 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
  • 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.