Quant Trading Backend Engineer – Latency & Optimization

Millennium; Miami (FL); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Discretionary Performance Bonus

Comprehensive Benefits

Job summary

Millennium is seeking a software engineer to develop and optimize compute-intensive applications for quantitative modeling and trading within the Fixed Income & Commodities Technology team.

You will collaborate with quants and risk managers to automate system maintenance and enhance platform capabilities to minimize latency. The role requires 3–5+ years of Java or C++ experience with at least one year in Rust, a CS or science degree, strong SQL, and containerization skills.

Qualifications

• 3-5+ years of professional software development experience in Java or C++, with at least one year of experience in Rust.
• Bachelor's or Master's degree in Computer Science or a scientific field is required, with strong SQL and containerization skills.

Responsibilities

• Develop and optimize compute-intensive applications for quantitative modeling and trading.
• Collaborate with quants and risk managers to automate system maintenance and enhance platform capabilities to minimize latency.

Skills

Backend Optimization

Systems Programming

SQL proficiency

Education

Bachelor's or Master's in Computer Science or scientific field

Tools

Java

C++

Rust

SQL

DuckDB

Postgres

Kubernetes

ArgoCD

Apache Kafka

Apache Arrow

Parquet

Avro

AWS

GCP

Docker

Job description

Millennium is seeking a software engineer to develop and optimize compute-intensive applications for quantitative modeling and trading within the Fixed Income & Commodities Technology team.

You will collaborate with quants and risk managers to automate system maintenance and enhance platform capabilities to minimize latency. The role requires 3–5+ years of Java or C++ experience with at least one year in Rust, a CS or science degree, strong SQL, and containerization skills.