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# Performance Engineer Lead

- **Company:** BCforward
- **Location:** Orlando, FL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $104,000.0 - $111,426.0
- **Contract:** Contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Application Performance Management, JIRA, Databases, Continuous Integration, Distributed Systems, Amazon DynamoDB, Github, Groovy, Monitoring of Systems, Apache JMeter, Python (Programming Language), Performance Tuning, Systems Development Life Cycle, Site Reliability Engineering Practices, Datadog, Performance Testing, Grafana, Scalability Testing, Data Management, Functional Programming, Cloudwatch, Splunk, Appdynamics, Software Version Control, BeanShell, Jenkins, Microservices
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/0a75a3eb-e24d-44ec-ae80-e9b8dfc6f83f

## About the Role

We are seeking a Performance Engineer Lead to join our team. The ideal candidate will have strong experience in JMeter-based performance engineering, AWS cloud services, and application performance monitoring and a proven ability to design and execute scalable performance strategies, diagnose bottlenecks, and enable resilient, cost-optimized systems., * Expertise with JMeter for load, stress, endurance, and scalability testing.

 * Hands-on experience with AWS services: ECS, EKS, EC2, Lambda, DynamoDB, AuroraDB, and RDS.
 * Proficiency with APM and monitoring tools: AppDynamics, AWS CloudWatch, Datadog, Grafana, and Splunk.
 * CI/CD integration using GitHub and Jenkins or GitHub Actions for automated performance testing and reporting.
 * Coding and scripting with Groovy, Beanshell, Java, and Python for test customization, frameworks, and data automation.
 * Experience with Serenity for test data management and JIRA/qTest for delivery tracking.
 * Strong analytical and problem-solving skills with demonstrated root cause analysis across tiers.
 * Excellent communication and teamwork abilities to present clear findings and recommendations.
 * Experience Level: 10+ years in performance engineering or closely related roles.
 * Education: Bachelor's degree or equivalent graduation.

Preferred Skills:

 * SRE practices and reliability tooling.
 * Microservices performance engineering and distributed systems tuning.
 * Experience with AI and LLM-driven solutions in performance optimization.

## Description

* Define and implement performance test strategies across critical applications and services.
 * Design, script, and execute load, stress, endurance, and scalability tests using JMeter, including Groovy, Beanshell, and Java where needed.
 * Collaborate with development and architecture teams to define performance SLAs, KPIs, and baselines.
 * Configure, monitor, and analyze metrics with AppDynamics, AWS CloudWatch, Datadog, Grafana, and Splunk to ensure stability and visibility.
 * Perform root cause analysis for performance bottlenecks across application, database, and infrastructure layers.
 * Create proactive dashboards and alerts for production readiness and real-time monitoring.
 * Execute cloud performance engineering on AWS (ECS, EKS, EC2, Lambda, DynamoDB, AuroraDB, RDS), including elasticity, scaling, and failover testing.
 * Recommend autoscaling policies, resource utilization targets, and capacity plans.
 * Integrate performance tests into CI/CD pipelines using GitHub Actions or Jenkins, automate execution and reporting, and enforce regression gates.
 * Partner with product owners, developers, SREs, and QE to embed performance engineering into the SDLC.
 * Track and manage work through JIRA and qTest, and present findings to technical and non-technical stakeholders.
 * Innovate with AI solutions to optimize cost and improve the performance engineering lifecycle., * Vaccination Requirement: Unknown.
 * Travel and Expenses: Not covered.
 * Industry Experience: Technology industry experience preferred to perform job duties effectively.

Tools & Technologies:

 * Performance Testing: JMeter.
 * Test Data Management: Serenity.
 * Monitoring & APM: AppDynamics, AWS CloudWatch, Datadog, Grafana, Splunk.
 * Cloud Platforms: AWS ECS, EKS, EC2, Lambda, DynamoDB, AuroraDB, RDS.
 * Version Control & CI/CD: GitHub, Jenkins or GitHub Actions.
 * Agile/Delivery Tracking: JIRA, qTest.