Low-Latency Software Engineer, Quant & Trading Systems

Millennium; Miami (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

Millennium is seeking a software engineer to join the Fixed Income & Commodities IT team, collaborating with portfolio management, risk, and engineering to build scalable trading applications.

You will optimize latency, work with quants and risk managers, and help automate end-of-day processing, data integrity checks, and data loads, while leveraging Kubernetes, ArgoCD, and cloud platforms.

Qualifications

• 3-5 years of professional development using Java or C++, with ~1 year in Rust.
• Strong SQL and database experience with DuckDB, Postgres and RDBMS.
• Experience with containerization, Kubernetes and ArgoCD.
• Experience with scaled architectures and backend performance optimization.
• Bachelor's or Master's in Computer Science or related field.
• Strong analytical, problem-solving and communication skills; able to work independently.
• Detail-oriented, organized with ownership of work.
• Preferred: Kafka, Arrow, Parquet, Avro and cloud tech (AWS/GCP).

Responsibilities

• Collaborate with portfolio management, risk, and engineering on app development, deployment and architecture.
• Work with quants, risk managers and engineers to develop compute-intensive models handling large datasets.
• Optimize the platform to minimize latency using advanced techniques.
• Automate maintenance tasks, end-of-day processing, data integrity checks, and bulk loads/extracts.
• Maintain and improve application capabilities as requirements evolve.
• Partner with project managers and senior leaders to capture analytics requirements and monitor delivery.
• Deliver timely solutions to portfolio and risk managers within Millennium's culture.

Skills

Java

C++

Rust

SQL

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

DuckDB

Postgres

RDBMS

Kubernetes

ArgoCD

AWS

GCP

Apache Kafka

Arrow

Parquet

Avro

Job description

Millennium is seeking a software engineer to join the Fixed Income & Commodities IT team, collaborating with portfolio management, risk, and engineering to build scalable trading applications.

You will optimize latency, work with quants and risk managers, and help automate end-of-day processing, data integrity checks, and data loads, while leveraging Kubernetes, ArgoCD, and cloud platforms.