Data Engineer - Infrastructure

IMC•Chicago, IL

4d•Onsite

About The Position

We are hiring an Engineer to join our Data Engineering Infrastructure team, where you will help build and scale the storage and data platforms that power our HFT business. This is a hands-on role for someone who enjoys working close to the bare metal systems. Operating large-scale open-source storage, enterprise storage, tuning Linux systems for performance, automating infrastructure. As our data footprint grows, you will play a key part in keeping our infrastructure fast, reliable, and ready to scale.

Requirements

5+ years of experience in systems engineering with a strong focus on data storage
Strong Linux fundamentals, debugging skills, including performance tuning for I/O throughput
Hands-on experience with Ansible and Puppet for configuration management and automation
Familiarity with open-source, S3 API compliant, and enterprise storage technologies
Working knowledge of the Hadoop ecosystem, including YARN
Experience in Java and Python
Comfort working with AI-assisted development tools such as Claude (e.g., "vibecoding") in an enterprise setting
Experience with Prometheus-based monitoring and alerting

Responsibilities

Design, deploy, and operate large-scale data storage infrastructure, including Hadoop, enterprise storage and S3-compatible platforms
Tune Linux systems for I/O throughput and overall performance
Automate configuration and deployment using Ansible, Puppet or other automation platform
Build observability into the platform with Prometheus and related tooling
Partner with engineering teams to deliver reliable, well-architected data solutions with a focus on Storage and Kafka
Familiarity with Kubernetes