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Performance Testing / Performance Engineering Lead with Load runner

  • Performance Testing / Performance Engineering Lead with Load runner job type Posted on: Nov 07, 2026
  • Performance Testing / Performance Engineering Lead with Load runner experience level Programmers.io
  • Performance Testing / Performance Engineering Lead with Load runner employment type Pennington, Minnesota
  • Performance Testing / Performance Engineering Lead with Load runner employment type Onsite
  • Performance Testing / Performance Engineering Lead with Load runner salary Full-time

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Job Title :

Performance Testing / Performance Engineering Lead with Load runner

Job Type :

Full-Time

Job Location :

Pennington Minnesota United States

Remote :

No

Jobcon Logo Job Description :

Job Description

Role: Performance Testing / Performance Engineering Lead with Load Runner (10+ Years)

\n

Location: Pennington, New jersey-Onsite

\n

Type: Full-Time- role

\n


\n

Mandatory Skills

\n
    \n
  • Performance Testing/Engineering experience (10+ years)
  • \n
  • Strong hands-on experience with LoadRunner, JMeter, Locust, or similar tools
  • \n
  • Advanced scripting using VUGen 9.5+
  • \n
  • Strong Python programming skills
  • \n
  • Experience with AI/ML, LLMs, GenAI, prompt engineering, and AI-driven automation
  • \n
  • Knowledge of C, Java, SQL, and scripting
  • \n
  • Expertise in performance monitoring tools such as Dynatrace, CA Wily Introscope, AWR Reports
  • \n
  • Splunk for performance analysis
  • \n
  • Understanding of HTTP, Citrix, distributed load testing environments, and application architecture
  • \n
  • Performance bottleneck analysis and troubleshooting
  • \n
  • Strong communication and stakeholder management skills
  • \n
\n

Preferred Skills

\n
    \n
  • Experience with LoanIQ (Finastra)
  • \n
  • Cloud platforms (AWS, Azure, GCP)
  • \n
  • Kubernetes/OpenShift
  • \n
  • Microservices and distributed architectures
  • \n
  • AppDynamics, Grafana, ELK
  • \n
  • AI agents/copilots for test automation and predictive capacity planning
  • \n
\n

Key Responsibilities

\n
    \n
  • Design and execute load, stress, failover, and endurance tests
  • \n
  • Develop performance test plans and scripts
  • \n
  • Lead data creation activities for testing
  • \n
  • Analyze performance issues and provide recommendations
  • \n
  • Collaborate with development, architecture, infrastructure, and production support teams
  • \n
  • Use AI to automate analysis, improve diagnostics, and identify production risks
  • \n
  • Act as a Performance Engineering strategist and technical lead
  • \n
\n


Jobcon Logo Position Details

Posted:

Nov 07, 2026

Reference Number:

4916b8ff14d7ccfe

Employment:

Full-time

City:

Pennington

Job Origin:

ziprecruiter

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Job Description

Role: Performance Testing / Performance Engineering Lead with Load Runner (10+ Years)

\n

Location: Pennington, New jersey-Onsite

\n

Type: Full-Time- role

\n


\n

Mandatory Skills

\n
    \n
  • Performance Testing/Engineering experience (10+ years)
  • \n
  • Strong hands-on experience with LoadRunner, JMeter, Locust, or similar tools
  • \n
  • Advanced scripting using VUGen 9.5+
  • \n
  • Strong Python programming skills
  • \n
  • Experience with AI/ML, LLMs, GenAI, prompt engineering, and AI-driven automation
  • \n
  • Knowledge of C, Java, SQL, and scripting
  • \n
  • Expertise in performance monitoring tools such as Dynatrace, CA Wily Introscope, AWR Reports
  • \n
  • Splunk for performance analysis
  • \n
  • Understanding of HTTP, Citrix, distributed load testing environments, and application architecture
  • \n
  • Performance bottleneck analysis and troubleshooting
  • \n
  • Strong communication and stakeholder management skills
  • \n
\n

Preferred Skills

\n
    \n
  • Experience with LoanIQ (Finastra)
  • \n
  • Cloud platforms (AWS, Azure, GCP)
  • \n
  • Kubernetes/OpenShift
  • \n
  • Microservices and distributed architectures
  • \n
  • AppDynamics, Grafana, ELK
  • \n
  • AI agents/copilots for test automation and predictive capacity planning
  • \n
\n

Key Responsibilities

\n
    \n
  • Design and execute load, stress, failover, and endurance tests
  • \n
  • Develop performance test plans and scripts
  • \n
  • Lead data creation activities for testing
  • \n
  • Analyze performance issues and provide recommendations
  • \n
  • Collaborate with development, architecture, infrastructure, and production support teams
  • \n
  • Use AI to automate analysis, improve diagnostics, and identify production risks
  • \n
  • Act as a Performance Engineering strategist and technical lead
  • \n
\n


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