Senior Java Risk Tech Lead - Low-Latency Backend

Bullish; Hong Kong; On-site; HKD 1,000,000 - 1,800,000; Full time

Job summary

Bullish is seeking a highly experienced Java Backend Engineer to lead the development of our risk systems within the Risk Engineering team. You will design and implement low-latency JVM services and collaborate with quantitative analysts and product teams.

You will own high-performance code, apply TDD and stress testing, and contribute to engineering best practices in a fast-paced startup environment.

Qualifications

• 10+ years of experience as a Java backend engineer.
• Strong ownership and ability to thrive in a dynamic startup environment.
• Expert proficiency in Java and building high-performance, low-latency systems.
• In-depth knowledge of testing methodologies including TDD and stress testing.
• Well versed in Agile methodologies, Clean Code, API design and micro-services.
• Familiarity with financial products and risk models (SPAN, VaR) is a plus.

Responsibilities

• High-Performance JVM Engineering: Design and build high-quality, scalable and performant low/zero-GC JVM services and APIs
• Technical Translation & Risk Modeling: Understand risk models and decompose complex business requirements into well tested implementations.
• Strategic Cross-Functional Collaboration: Collaborate directly with quantitative analysts and product teams to build robust solutions for financial products and risk models.
• Continuous Codebase Optimization: Optimize and refactor the existing codebase to enhance testing, performance and maintainability
• Engineering Excellence: Be a bastion of code quality and best practices, paired with a performance mindset.

Skills

Java backend

Low-latency systems

Testing (TDD)

Microservices

Agile

Analytical skills

Math/Finance understanding

Education

Degree in Computer Science or related field

Tools

Git

Docker

Kubernetes

GCP

Job description

Bullish is seeking a highly experienced Java Backend Engineer to lead the development of our risk systems within the Risk Engineering team. You will design and implement low-latency JVM services and collaborate with quantitative analysts and product teams.

You will own high-performance code, apply TDD and stress testing, and contribute to engineering best practices in a fast-paced startup environment.