Performance Engineering Lead Specialist Engineer

Boise, ID - USA

Monthly Salary: Not Disclosed

Posted on: 12 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Performance Engineering Lead Specialist Engineer
Location: Boise ID
Experience: 12 Years
Employment Type: Contract
Interview Type: In-Person or Webcam

Job Description

We are seeking an experienced Performance Engineering Lead Specialist Engineer to oversee performance engineering activities across enterprise technology systems. This role will be responsible for driving performance strategy conducting performance testing identifying system bottlenecks and ensuring high availability and scalability of applications and infrastructure. The ideal candidate must have strong technical leadership experience a deep understanding of performance engineering methodologies and hands-on expertise across performance tools monitoring technologies and large-scale distributed environments.

Key Responsibilities

Lead end-to-end performance engineering and testing efforts for enterprise systems and applications.
Define performance strategy best practices standards and governance for engineering teams.
Analyze system performance identify bottlenecks and recommend tuning and optimization solutions.
Collaborate with architecture development QA DevOps and infrastructure teams to ensure performance objectives are achieved.
Evaluate and set up performance testing frameworks tools and environments.
Develop and execute performance test plans scripts workloads and benchmarks.
Utilize APM tools to monitor system performance and provide data-driven insights.
Prepare performance test reports and present findings to technical and leadership stakeholders.
Support capacity planning scalability modeling and forecasting activities.
Troubleshoot complex performance issues related to application database network or infrastructure components.
Drive continuous performance improvements throughout the software development lifecycle.

Required Qualifications

12 years of professional experience in performance engineering and testing.
Proven experience leading performance engineering initiatives in large-scale enterprise environments.
Strong hands-on expertise with performance testing tools such as LoadRunner JMeter Neoload BlazeMeter or Gatling.
Proficiency with Application Performance Monitoring tools like Dynatrace AppDynamics New Relic or Splunk.
Strong scripting skills (e.g. Python Shell PowerShell Java JavaScript).
Deep understanding of cloud environments such as AWS Azure or Google Cloud.
Strong knowledge of distributed architectures including microservices APIs containers and Kubernetes.
Experience analyzing performance at database layers (Oracle SQL Server PostgreSQL MongoDB or similar).
Hands-on experience with CI/CD and DevOps pipeline integration for performance automation.
Excellent problem-solving analytical communication and leadership skills.

Preferred Skills

Experience with performance engineering for financial telecom healthcare or high-transaction systems.
Experience working with Kafka RabbitMQ or other messaging platforms.
Knowledge of observability frameworks including OpenTelemetry Prometheus or Grafana.
Cloud certification (AWS/Azure/GCP) is a plus.
Experience with tuning JVM runtime caching frameworks and load balancing strategies.
Exposure to AI-based performance analytics or automation.

Job Title: Performance Engineering Lead Specialist Engineer Location: Boise ID Experience: 12 Years Employment Type: Contract Interview Type: In-Person or Webcam Job Description We are seeking an experienced Performance Engineering Lead Specialist Engineer to oversee performance engineering activiti...

Job Title: Performance Engineering Lead Specialist Engineer
Location: Boise ID
Experience: 12 Years
Employment Type: Contract
Interview Type: In-Person or Webcam

Job Description

Key Responsibilities

Lead end-to-end performance engineering and testing efforts for enterprise systems and applications.
Define performance strategy best practices standards and governance for engineering teams.
Analyze system performance identify bottlenecks and recommend tuning and optimization solutions.
Collaborate with architecture development QA DevOps and infrastructure teams to ensure performance objectives are achieved.
Evaluate and set up performance testing frameworks tools and environments.
Develop and execute performance test plans scripts workloads and benchmarks.
Utilize APM tools to monitor system performance and provide data-driven insights.
Prepare performance test reports and present findings to technical and leadership stakeholders.
Support capacity planning scalability modeling and forecasting activities.
Troubleshoot complex performance issues related to application database network or infrastructure components.
Drive continuous performance improvements throughout the software development lifecycle.

Required Qualifications

12 years of professional experience in performance engineering and testing.
Proven experience leading performance engineering initiatives in large-scale enterprise environments.
Strong hands-on expertise with performance testing tools such as LoadRunner JMeter Neoload BlazeMeter or Gatling.
Proficiency with Application Performance Monitoring tools like Dynatrace AppDynamics New Relic or Splunk.
Strong scripting skills (e.g. Python Shell PowerShell Java JavaScript).
Deep understanding of cloud environments such as AWS Azure or Google Cloud.
Strong knowledge of distributed architectures including microservices APIs containers and Kubernetes.
Experience analyzing performance at database layers (Oracle SQL Server PostgreSQL MongoDB or similar).
Hands-on experience with CI/CD and DevOps pipeline integration for performance automation.
Excellent problem-solving analytical communication and leadership skills.

Preferred Skills

Experience with performance engineering for financial telecom healthcare or high-transaction systems.
Experience working with Kafka RabbitMQ or other messaging platforms.
Knowledge of observability frameworks including OpenTelemetry Prometheus or Grafana.
Cloud certification (AWS/Azure/GCP) is a plus.
Experience with tuning JVM runtime caching frameworks and load balancing strategies.
Exposure to AI-based performance analytics or automation.