Senior Java Backend Engineer - Real-Time Risk Tech

Bullish, Inc.; United Kingdom; On-site; GBP 100,000 - 150,000; Full time

Job summary

CoinDesk is seeking a highly experienced Java Backend Engineer for its Risk Engineering team. You will design and build high-performance JVM services, translate risk models into robust implementations, and collaborate with quantitative analysts and product teams.

The role emphasizes ownership, strong Java expertise, and a focus on scalable, low-latency systems within a fast-paced environment. Knowledge of financial products and cloud tooling is advantageous.

Qualifications

• 10+ years of experience as a Java backend engineer.
• Strong ownership mindset and ability to thrive in a fast-paced environment.
• Expert proficiency in Java and low-latency, high-performance systems.
• Solid testing knowledge (TDD, stress testing) and software design fundamentals.
• Familiarity with Agile, API design and microservices.
• Experience with a full toolchain: Git, Docker, Kubernetes, GCP.
• Knowledge of financial products, risk models and methodologies.

Responsibilities

• Design and build high-performance JVM services and APIs.
• Translate risk models and business requirements into robust implementations.
• Collaborate with quantitative analysts and product teams across domains.
• Refactor and optimize codebase for testing, performance and maintainability.
• Uphold code quality and engineering best practices across the team.

Skills

Java backend

Ownership

Analytical aptitude

Testing methodologies

Software design

Technical ecosystem

Education

Degree in Computer Science or related field

Tools

Git

Docker

Kubernetes

GCP

Job description

CoinDesk is seeking a highly experienced Java Backend Engineer for its Risk Engineering team. You will design and build high-performance JVM services, translate risk models into robust implementations, and collaborate with quantitative analysts and product teams.

The role emphasizes ownership, strong Java expertise, and a focus on scalable, low-latency systems within a fast-paced environment. Knowledge of financial products and cloud tooling is advantageous.