S

Low Latency Java Developer

salary Salary :

$100,000 - 100,000 yearly

icon briefcase Job Type : Full Time

Number of Applicants

 : 

000+

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Job Description - Low Latency Java Developer



Responsibilities

  • Develop and enhance high-performance trading infrastructure, including market data ingestion and order execution systems.
  • Deliver solutions that support a range of trading functions, including OTC trading, market making, proprietary trading, and systematic strategies.
  • Take ownership of complex technical challenges, working independently to analyse issues and drive them through to resolution.
  • Contribute to initiatives that improve system performance, scalability, and reliability across the stack.
  • Actively explore and adopt AI-driven tools and technologies to enhance engineering productivity and business outcomes.
  • Apply modern automation and generative AI capabilities to streamline workflows, improve decision-making, and elevate output quality.


Requirements

  • Strong programming expertise in Java, with deep understanding of performance tuning and optimisation.
  • Proven experience in low-latency trading system development, particularly in pricing and execution environments.
  • Advanced knowledge of concurrent and multi-threaded programming.
  • Hands-on experience optimising Java applications, including garbage collection tuning.
  • Familiarity with high-performance messaging frameworks (e.g., Aeron, 29West, or similar).
  • Solid grounding in networking fundamentals, including TCP/UDP, multicast, routing, switching, and congestion control.
  • Experience with kernel bypass and low-latency networking technologies (e.g., DPDK, RDMA, Solarflare/OpenOnload).
  • Good understanding of Linux internals, including scheduling, memory management, and performance tuning.\


Preferred Experience

  • Background in electronic FX (eFX) systems, particularly in ultra-low-latency or zero-GC environments.
  • Familiarity with institutional messaging protocols such as FIX or SBE.
  • Experience designing fault-tolerant, distributed systems with high availability.
  • Exposure to modern infrastructure tooling, including Docker, Kubernetes, and cloud platforms (e.g., AWS).



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