Senior Java Engineer, Trading Platform

Senior Java Engineer, Trading Platform

Full-Time 70000 - 90000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and deliver low-latency Java code for a cutting-edge trading platform.
  • Company: Join Bullish, Inc., a leader in innovative trading technology.
  • Benefits: Enjoy competitive salary, flexible work options, and growth opportunities.
  • Other info: Collaborate with diverse teams in a dynamic and fast-paced setting.
  • Why this job: Make an impact in high-speed trading environments with your coding skills.
  • Qualifications: Proven experience in Java and a passion for optimising performance.

The predicted salary is between 70000 - 90000 Β£ per year.

Bullish, Inc. is seeking a Senior Engineer for Trading Product Engineering in London.

You will design and deliver low-latency Java code powering the Bullish Exchange, working across a hybrid architecture that blends a Central Limit Order Book with proprietary market making.

You will optimize performance, expand automated testing, and collaborate with cross-functional teams to ensure reliability in high-throughput trading environments.

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Senior Java Engineer, Trading Platform employer: Bullish, Inc.

Bullish, Inc. is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals passionate about AI and data platforms. With a strong commitment to employee growth, the company offers ample opportunities for skill development and career advancement, all while working in a dynamic environment that values creativity and forward-thinking solutions. Located in a vibrant tech hub, employees benefit from a rich network of industry connections and resources, enhancing both personal and professional experiences.

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Contact Details:

Bullish, Inc. Recruitment Team

We think you need these skills to ace Senior Java Engineer, Trading Platform

Java
Low-Latency Programming
Central Limit Order Book
Market Making
Performance Optimisation
Automated Testing
Cross-Functional Collaboration