Quantitative Technologist (Full-Time - DevOps - Night Shift)

Quantitative Technologist (Full-Time - DevOps - Night Shift)

Chicago

As a DevOps Engineer your goal is to enhance live trading systems, research infrastructure, and alpha generation through technology innovation. You will be covering the night shift in our Chicago office alongside other engineers and researchers. Our DevOps team is specifically responsible for ensuring the efficacy of our trading machines and the translation of research to production. The ability to execute in a fast‑paced environment is crucial for this team, as you’ll be manipulating Linux on the fly, identifying errors and inefficiencies quickly and designing solutions to challenges with systems, networking, and general architecture on a daily basis.

We leverage cutting‑edge software and hardware to push production level code daily and evolve fully‑automated strategies, alpha generation processes, live trading systems, and machine learning research and simulation infrastructure used to analyze petabytes of data.

We provide starter projects that we know will add value to the firm, while encouraging exploration and independent projects to improve inefficiencies, propose iterations, and own significant processes and tools within your first few months.

COMPENSATION – Competitive salary, plus quarterly bonus based on individual performance and contribution toward the success of others and the firm.

Qualifications

• Python – strong proficiency and problem‑solving skills.
• Persistent drive to improve and rise to the next level.
• Creative problem solving and probabilistic thinking.
• Team mindset – collaborative and committed to improving team performance.
• Mental flexibility & self‑awareness to adapt based on new data and feedback.
• Orientation for making money – focus on high‑value projects.
• Understanding of data structures, algorithmic complexities, and numerical algorithms.
• Systems architecture – knowledge and experience with distributed systems and communication.
• Software architecture – experience working with large code bases.
• Development processes – delivering and deploying software in production environments.