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# Sr. Java Engineer with Low Latency Systems, Socket Programming in Java, Network Latency/Programming in Boston

- **Company:** Energy Jobline
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $145,600.0 - $176,800.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Network Sockets, Computer Programming, Software Debugging, Apache JMeter, Systems Development Life Cycle, Socket Programming, WebSocket, Multithreading, Performance Testing, GitHub Copilot, Concurrency, Spring-boot, Generative AI, Information Technology, Low Latency, Restful APIs
- **Published:** September 11, 2026
- **Apply:** https://www.energyjobline.com/job/sr-java-engineer-low-latency-systems-socket-programming-java-network-latency-programming-boston

## About the Role

n* A STRONG passion for AI and ideally 10+ years of experience in Java-based systems development (Java 11+; current stack Java 21).Good understanding of core java APIs.\n
\n* Solid understanding of concurrency, multi-threading, and high-performance systems. Low Latency in Java Multithreading, Socket Latency, Network socket programming in Java , strong hands on with low level architecture and how the systems operate. \n
\n* Experience with Spring, SpringBoot and building REST APIs\n
\n* Exposure to WebSockets and performance testing (e.g., JMeter) is a plus\n
\n* Hands-on experience using GenAI tools (e.g., Claude Code, GitHub Copilot, Codex)\n
\n* Ability to use AI tools effectively for coding, debugging, and problem-solving\n
\n* Interest in or exposure to AI-driven / agentic workflows\n
\n* Strong problem-solving skills, including breaking down work into AI-augmentable tasks\n
\n* Growth mindset with a focus on continuous learning and experimentation\n
\n* Comfortable adapting to evolving tools, practices, and technologies\n
\n* Ability to thrive in a fast-paced, team-oriented environment\n
\n* Bachelor's degree in computer science or related field\n
\n
\nThis role combines strong backend engineering with modern AI assisted development practices. We are looking for engineers who can effectively leverage AI tools (e.g., Claude Code, GitHub Copilot) across the SDLC-design, development, testing, and production support-to deliver high-quality, scalable systems. The ideal candidate is a self-starter who thrives in a fast-paced environment, collaborates well across teams, and continuously adapts to evolving technologies and workflows.\n



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