Quant jobs / Bullish

Senior Engineer, Trading Product Engineering

Bullish’s trading engineering team builds the exchange’s order-processing systems. Its platform combines order-book matching with automated liquidity across digital-asset spot and derivatives markets.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Develop low-latency Java trading components
Profile order-processing bottlenecks
Test financial state transitions and system behaviour under load
Coordinate delivery with the distributed engineering team

What they ask for

Required

Java 17+
High-throughput low-latency design
Messaging systems
Testing and CI/CD
Docker and Kubernetes
AI-assisted development

Preferred

FIX or matching engines
Digital-asset knowledge

Education: No degree requirement is specified.
Experience: Demonstrated low-latency system delivery; no year threshold is stated.
Languages and tools: Java
Kafka
RabbitMQ
Docker
Kubernetes
Spring
Micronaut
Markets: crypto, futures, options

How to prepare

Build a tested order-book or matching component
Benchmark Java latency and reason about concurrency
Explain correctness checks for an order-state transition

What to study

The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Bullish’s site before applying: requirements, location and pay can change after we check them.

View the posting on Bullish’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Bullish and doesn’t handle applications.