Low-Latency Java Engineer—JVM Tuning & Concurrency

N Consulting Global

Greater London

On-site

GBP 90,000 - 130,000

Full time

2 days ago
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Job summary

N Consulting Global in London is seeking an experienced Java Developer with strong JVM tuning, concurrency, and low-latency system design to build and optimise high-performance, event-driven applications.

You will dig into Java internals, memory management, Linux networking, and reactive architectures to reduce latency and increase throughput in latency-sensitive environments, collaborating with distributed teams on profiling, tuning, and architecture decisions.

Qualifications

  • Strong Java development experience with expertise in JVM tuning and performance optimisation.
  • Excellent knowledge of data structures, algorithms, and concurrency.
  • Experience building low-latency, high-throughput, event-driven or reactive systems.

Responsibilities

  • Design, develop, and optimise high-performance Java applications for low-latency and high-frequency environments.
  • Perform JVM tuning, garbage collection optimisation, and memory management.
  • Develop event-driven and reactive systems with a strong focus on concurrency and throughput.
  • Optimise data structures, algorithms, networking, and application performance.
  • Work with low-level Java technologies and system interfaces to improve execution efficiency.
  • Analyse performance bottlenecks across the JVM, operating system, CPU, and network layers.
  • Work with shared memory, memory-mapped files, and TCP/UDP networking.
  • Apply knowledge of Linux internals and CPU architecture to optimise system performance.

Skills

Java
JVM tuning
Concurrency
Low-latency design

Job description

N Consulting Global in London is seeking an experienced Java Developer with strong JVM tuning, concurrency, and low-latency system design to build and optimise high-performance, event-driven applications.

You will dig into Java internals, memory management, Linux networking, and reactive architectures to reduce latency and increase throughput in latency-sensitive environments, collaborating with distributed teams on profiling, tuning, and architecture decisions.

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