> Markdown version of [/jobs/ext/3793759-performance-engineer](https://www.wearedevelopers.com/jobs/ext/3793759-performance-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Performance Engineer

- **Company:** Indotronix Avani Group
- **Location:** Southlake, TX, United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Java (Programming Language), Artificial Intelligence, Algorithmic Trading, Server Applications, Profiling, Databases, Linux, Distributed Systems, IntelliJ IDEA, Java Virtual Machine (JVM), Apache JMeter, Python (Programming Language), Microsoft Visual Studio, Scala (Programming Language), Shell Script, Multithreading, Google Cloud, Performance Testing, Large Language Models, Grafana, Concurrency, Gatling, Caching, Kubernetes, Information Technology, Software Coding, Splunk, Docker
- **Published:** October 17, 2026
- **Apply:** https://candidateportal.ceipal.com/job-details/aIULEtkVorLfGeuPch9UTtSkTGNW5ZsmA8cZziwvgO4

## About the Role

Bachelor's degree in Computer Science or Engineering

 - 5+ years in performance engineering, scalability, or production performance analysis
 - 2+ years hands-on Java development with deep understanding of JVM internals, concurrency, multithreading, memory, and garbage collection
 - Expertise in troubleshooting, profiling, and diagnosing Java and system-level issues (using logs, dumps, profilers, observability tools)
 - Proficient in workload automation using Java, Scala, Python, shell scripting, JMeter, or Gatling
 - Strong knowledge of Linux, databases, application servers, caching, connection pools, distributed systems, and networks
 - Experience with Splunk, Grafana, and JVM troubleshooting

Preferred Skills

 - Real-time financial or trading system experience
 - Familiarity with Google Cloud, Kubernetes, or Docker
 - Experience with AI-assisted analysis, LLM tools, or intelligent automation
 - Exposure to AI tools within Visual Studio or IntelliJ IDEA, This is not a traditional Java Developer role but they do need someone who can read and analyze Java source code understand JVM internals and make code-level recommendations to improve performance The main focus is performance testing troubleshooting bottlenecks scalability and system resiliency not primarily building new application features Ideally look for a Performance Engineer or Java Performance Engineer who has hands-on coding experience

## Description

Join a high-impact Performance Engineering team focused on optimizing a Java-based trading platform at scale. As a Senior Performance Engineer, you will independently drive performance, scalability, and resiliency initiatives for mission-critical financial systems. You'll dive deep into code, analyze complex systems, and collaborate with cross-functional teams to push the limits of latency and reliability. This is an ideal opportunity for engineers passionate about solving tough performance challenges and making a measurable impact in the fintech domain., Plan, execute, and deliver performance, scalability, and resiliency validations for Java trading systems

 - Investigate architecture, business flows, dependencies, and production behaviors to inform performance initiatives
 - Define requirements, workloads, and acceptance criteria in partnership with development and QA teams
 - Build and maintain performance test scripts, workload generators, automation frameworks, and mock services
 - Perform rigorous load, stress, endurance, failover, recovery, degradation, and resiliency testing
 - Deeply analyze Java source code, JVM internals, system resources, databases, and network metrics to identify bottlenecks
 - Recommend and validate technical improvements for code, configuration, infrastructure, design, and capacity
 - Maintain dashboards, diagnostic tools, runbooks, and workload libraries to support ongoing performance monitoring
 - Leverage automation and AI tools to enhance scripting, diagnostics, and documentation
 - Clearly communicate findings, risks, and recommendations to stakeholders