Low-Latency Trading Systems Engineer (Java/C++, Rust)

Millennium; New York (NY); On-site; USD 140,000 - 180,000; 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 used 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 improve platform latency and data processing. A strong background in Java/C++, Rust, and SQL, plus containerization, is required for this role.

Qualifications

• Requires 3-5+ years of professional software development experience in Java or C++, with at least one year of experience in Rust.
• A Bachelor's or Master's degree in Computer Science or a scientific field is required, along 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.
• Enhance platform latency and data processing across the Fixed Income & Commodities Technology stack.

Skills

Java

C++

Rust

SQL

Backend Optimization

Systems Programming

Education

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

Tools

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 used 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 improve platform latency and data processing. A strong background in Java/C++, Rust, and SQL, plus containerization, is required for this role.