Lead Performance Engineer with Orchestration

Accord Technologies Inc

Charlotte (NC)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

A technology solutions provider is seeking a Lead Performance Engineer with expertise in performance testing to support a large-scale Data Center Migration program in Charlotte, NC. The role involves defining performance test strategies, conducting comprehensive analysis, and leveraging tools like LoadRunner and JMeter. Candidates should have strong skills in NFR gathering, performance validation, and chaos engineering to ensure application reliability and performance optimization during migration. This position focuses on cloud-native and enterprise applications.

Qualifications

  • Strong experience in NFR gathering and performance strategy definition.
  • Expertise in performance scripting using LoadRunner and Apache JMeter.
  • Hands-on experience with performance diagnostics and bottleneck identification.

Responsibilities

  • Collaborate with stakeholders to define Non-Functional Requirements (NFRs).
  • Design and implement performance test strategies for migration validation.
  • Conduct deep-dive bottleneck analysis across application layers.
  • Validate scalability and resilience in containerized environments.

Skills

Performance Engineering
NFR gathering
Performance scripting
LoadRunner
Apache JMeter
BlazeMeter
Containerized environments
Microservices architecture

Tools

AppDynamics
Splunk

Job description

Overview

Title: Lead Performance Engineer with Orchestration.
Location: Charlotte, NC
Inperson interview needed.
Position type: W2 contract

Job Description

We are seeking experienced Performance Test Engineers to support a large-scale Data Center Migration program involving performance validation of enterprise applications. The role requires strong expertise in end-to-end performance testing, including NFR gathering, scripting, execution, monitoring, and advanced bottleneck analysis across modern cloud-native and enterprise platforms. This position requires candidates who can ramp up quickly, work independently, and bring strong engineering depth to both first-time performance initiatives and performance re-validation scenarios.

Key Responsibilities
  • Collaborate with stakeholders to gather and define Non-Functional Requirements (NFRs), SLAs, and workload models.
  • Design and implement performance test strategies for migration validation.
  • Develop and maintain performance test scripts using LoadRunner and JMeter.
  • Execute performance tests using LoadRunner and/or BlazeMeter.
  • Design workload distribution models based on business usage patterns.
  • Conduct performance validation for applications migrating to new data center environments.
  • Perform deep-dive bottleneck analysis across application, middleware, infrastructure, and database layers.
  • Work with monitoring and observability tools such as AppDynamics and Splunk for root cause analysis.
  • Validate scalability, reliability, and resilience in containerized/OpenShift environments.
  • Plan and execute Chaos Engineering experiments to validate system stability under failure conditions.
  • Provide performance tuning recommendations to development and infrastructure teams.
  • Prepare detailed performance reports and executive summaries.
  • Support rapid onboarding of applications where performance testing is being conducted for the first time.
Required Technical Skills
  • Performance Engineering
  • Strong experience in NFR gathering and performance strategy definition.
  • Expertise in performance scripting using:
  • LoadRunner (VuGen, Controller, Analysis)
  • Apache JMeter
  • LoadRunner
  • BlazeMeter
  • Strong knowledge of Orchestration of workload modeling and test scenario design.
  • Experience handling large, complex, multi-application environments.
Monitoring & Analysis
  • Hands-on experience with:
  • AppDynamics
  • Splunk
  • Strong capability in performance diagnostics and bottleneck identification.
  • Experience analyzing CPU, memory, thread pools, connection pools, GC logs, and SQL performance.
Technology Stack Exposure
  • Java-based applications
  • .NET applications
  • Containerized environments (OpenShift/Kubernetes preferred)
  • Microservices architecture understanding
Chaos Engineering
  • Experience designing and executing controlled failure experiments using Gremlin or Chaos Mesh
  • Ability to validate resilience, failover, and recovery scenarios.
Preferred Skills
  • Experience in Data Center Migration performance validation.
  • Experience testing applications undergoing infrastructure refresh or cloud transformation.
  • Familiarity with CI/CD integrated performance testing.
  • Exposure to cloud platforms (AWS/Azure/GCP) is an advantage.
  • Experience handling performance testing for applications where no historical baseline exists.
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