Software Engineer

Fintal Partners; Chicago (IL); On-site; USD 90,000 - 120,000; Full time

Job summary

A financial technology firm in Chicago is seeking a Software Engineer to enhance collaboration with traders and researchers by designing scalable systems and delivering infrastructure for large-scale computations and market data analysis. Candidates should have over 3 years of software engineering experience, strong skills in Python and/or Java, and hands-on experience with Kubernetes. This role is vital for improving day-to-day experiences and iterating solutions rapidly based on user feedback.

Qualifications

• 3+ years of software engineering experience.
• Strong proficiency in Python and/or Java.
• Hands-on experience managing Kubernetes clusters.

Responsibilities

• Design, build, and maintain scalable systems for compute and data access.
• Develop infrastructure for large-scale jobs and storage challenges.
• Collaborate with researchers to prototype solutions.

Skills

Python

Java

Kubernetes

Big Data Infrastructure

High-performance Storage

Job description

Our client is looking for a Software Engineer to join their Chicago team. You’ll be at the heart of collaboration with quant researchers and traders, working to understand their workflows and deliver infrastructure and tools that support large-scale computation, research, and market data analysis.

Your Core Responsibilities

• Design, build, and maintain scalable systems for compute, data access, and research tooling.
• Develop infrastructure to handle large-scale jobs and complex storage challenges.
• Collaborate with researchers and traders to understand their needs and rapidly prototype solutions.
• Support a global team by contributing to tools and systems used across multiple regions.
• Iterate quickly based on user feedback and usage patterns to continuously enhance usability and performance.
• Ensure seamless access to historical reference data and market data.

Your Skills and Experience

• 3+ years software engineering experience with a strong proficiency in Python and/or Java
• Hands-on experience managing Kubernetes clusters and containerized workloads.
• Deep understanding of large-scale systems, big data infrastructure, and high-performance storage.
• Strong interest in working alongside traders and researchers, and a drive to improve their day-to-day experience.
• Comfortable with fast iteration loops, prototyping, and adjusting solutions in response to feedback.