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# Performance & Reliability Engineer

- **Company:** Experis
- **Location:** Sand Lake, FL, United States
- **Experience:** Expert
- **Salary:** $93,600.0 - $104,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Application Performance Management, JIRA, Continuous Integration, Amazon DynamoDB, Github, Groovy, Apache JMeter, Python (Programming Language), Datadog, Performance Testing, Grafana, Scalability Testing, Functional Programming, Cloudwatch, Splunk, Appdynamics, BeanShell, Jenkins
- **Published:** October 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0e4ffa9a27f3bd73

## About the Role

* 10+ years of technology experience with a strong focus on performance engineering and application performance monitoring.
 * Hands-on performance testing expertise with JMeter, including scripting/customization using Groovy, Beanshell, and/or Java for extensions.
 * Proficiency with AWS and cloud performance validation across services such as ECS, EKS, EC2, Lambda, DynamoDB, AuroraDB, and RDS.
 * Experience with monitoring and APM tools including AppDynamics, AWS CloudWatch, Datadog, Grafana, and Splunk, plus the ability to perform root cause analysis.
 * Experience integrating performance tests into CI/CD workflows using GitHub Actions or Jenkins, and tracking delivery work in JIRA (and qTest where applicable).

## Description

* Define and implement performance test strategies across critical applications and services, including load, stress, endurance, and scalability testing.
 * Design, script, and execute performance tests using JMeter, applying Groovy/Beanshell/Java scripting where needed to customize test behavior.
 * Collaborate with development and architecture teams to establish performance SLAs, KPIs, and baselines that guide measurable improvements.
 * Configure, monitor, and analyze application and infrastructure metrics using AppDynamics, AWS CloudWatch, Datadog, Grafana, and Splunk, including root cause analysis for bottlenecks.
 * Integrate performance testing into CI/CD pipelines using GitHub Actions or Jenkins, automate execution and results publishing, and manage performance regression checks., * Work on performance test strategy and execution that directly improves production stability and real-time visibility.
 * Build reusable performance frameworks and automation utilities using Java/Python to strengthen the overall engineering process.
 * Partner across product, development, SRE, and QE teams to embed performance engineering into the software delivery lifecycle.
 * Contribute to proactive dashboards and performance regression checks that help teams detect issues early.
 * Innovate by applying AI solutions to optimize cost and reinvent the performance engineering lifecycle.