Remote Senior Java Full-Stack Engineer – Low-Latency Trading

Eliassen Group; Bismarck (ND); Remote; USD 96,000 - 110,000; Part time

Job summary

Sr. Java Full Stack Engineer at Eliassen Group is a remote, contract role focusing on leading the design and development of next-generation electronic trading systems within a high-performing Trade Management Engineering group.

The role requires 10+ years of hands-on experience with Java, Python, Linux, and low-latency messaging systems, plus familiarity with KDB+ time-series databases, FIX engines, and cloud deployments.

Qualifications

• 10+ years of hands-on software design and development experience.
• Expertise in Java, Python, and Linux.
• Deep experience with low latency messaging systems such as Kafka.
• Proficiency with FIX protocol and FIX engines.
• Experience with CI/CD tools and cloud deployments (AWS).

Responsibilities

• Architect and develop distributed, event-driven trading systems optimized for low latency and high throughput.
• Design and implement asynchronous processing frameworks and resilient messaging services.
• Collaborate with internal and external teams to deliver robust, end-to-end trading workflows.
• Lead performance tuning and optimization efforts across the platform.
• Mentor junior engineers and promote engineering best practices.
• Support production and non-production environments, including on-call rotations.

Skills

Java

Python

Linux

Low-latency messaging

AWS

Distributed systems

On-call support

Education

Bachelor’s degree in Computer Science or related field

Tools

Kafka

KDB+

FIX protocol

GitHub Copilot

GitHub

Maven

Jenkins

Artifactory

uDeploy

AWS

Job description

Sr. Java Full Stack Engineer at Eliassen Group is a remote, contract role focusing on leading the design and development of next-generation electronic trading systems within a high-performing Trade Management Engineering group.

The role requires 10+ years of hands-on experience with Java, Python, Linux, and low-latency messaging systems, plus familiarity with KDB+ time-series databases, FIX engines, and cloud deployments.