Software Engineer

Overview

On Site
Full Time

Skills

Quantitative Research
Management
Data Storage
Prototyping
Usability
Software Engineering
Java
Python
Kubernetes
Data Architecture
Storage
Trading
Research
Workflow

Job Details

A premier proprietary trading firm is seeking a talented software engineer to join its high-impact engineering team. This role offers the opportunity to work at the intersection of cutting-edge technology and quantitative research, supporting mission-critical systems that power global trading strategies. The ideal candidate will thrive in a fast-paced, collaborative environment and be passionate about building scalable infrastructure that directly supports traders and researchers in making data-driven decisions.

Key Responsibilities

  • Develop and maintain robust, scalable systems that support compute-intensive workloads, data access, and research applications.
  • Build infrastructure capable of managing large-scale processing and complex data storage challenges.
  • Work closely with researchers and traders to understand their workflows and rapidly deliver tailored prototypes.
  • Contribute to the development of tools and platforms used by teams across multiple global offices.
  • Continuously refine system performance and usability through iterative development and feedback.


Qualifications and Experience

  • 3+ years of software engineering experience, with strong proficiency in Java and Python.
  • Hands-on experience with Kubernetes and deploying containerized applications.
  • Understanding of distributed systems, large data architecture, and high-performance storage solutions.
  • Enthusiastic about collaborating with trading and research teams to enhance their workflows.
  • Comfortable working in fast-paced environments
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.