Build the storage and data infrastructure that powers a leading quantitative trading firm.
Our client is seeking a highly skilled Storage & Data Infrastructure Engineer to join a team responsible for designing, scaling, and optimizing the data platforms that support a global high-performance trading environment. This role sits at the intersection of storage engineering, distributed systems, Linux performance tuning, and platform automation.
The ideal candidate enjoys working deep in the infrastructure stack, solving complex performance challenges, and operating large-scale systems where reliability, observability, and low-latency performance are critical.
Technology Environment
You'll work within a modern infrastructure ecosystem that includes:
- Linux
- Python
- Java
- Kubernetes
- Hadoop/YARN
- Kafka
- Prometheus
- S3-compatible object storage
- Enterprise storage platforms
- Open-source storage technologies
- Distributed storage systems
- Large-scale data infrastructure
- Ansible
- Puppet
What You'll Do
- Design, deploy, and operate large-scale storage and data infrastructure supporting critical business systems
- Engineer scalable storage solutions across enterprise, open-source, and S3-compatible platforms
- Optimize Linux environments for throughput, latency, I/O performance, and reliability
- Develop infrastructure services, tooling, and automation in Python and Java
- Build and maintain Kubernetes-based infrastructure and data platforms
- Architect and support Hadoop ecosystems and large-scale data processing environments
- Partner with engineering teams supporting Kafka and other distributed data systems
- Create observability and monitoring solutions using Prometheus and related tooling
- Automate provisioning, deployment, configuration management, and operational workflows
- Drive architectural improvements as storage and data demands continue to grow
What We're Looking For
- 5+ years of experience in storage, infrastructure, systems, or distributed systems engineering
- Deep Linux administration and performance tuning experience
- Strong Python and/or Java development skills
- Experience operating large-scale distributed systems in production
- Background supporting Hadoop, YARN, distributed compute, or data platforms
- Experience with storage technologies including object storage, enterprise storage, or open-source storage solutions
- Experience with configuration management and automation tools such as Ansible or Puppet
- Familiarity with Kubernetes and containerized infrastructure
- Experience with Prometheus, monitoring, alerting, and observability platforms
- Strong troubleshooting, reliability, and performance optimization skills
Why Join?
- Work on infrastructure that directly powers a high-performance trading environment
- Solve technically challenging problems around scale, storage, performance, and reliability
- Collaborate with exceptionally strong engineers in a highly technical culture
- Significant ownership and influence over architecture and technical direction
- Lean teams, minimal bureaucracy, and direct impact
- Long-term growth within a world-class engineering organization
Compensation
- Base Salary: $175,000 - $225,000
- Bonus: Generous annual discretionary bonus
- Total Compensation: Highly competitive and designed to reward individual and firm performance
- Comprehensive benefits package and long-term career growth opportunities
Please note: This role requires candidates to be based in Chicago or willing to relocate to the area. Due to the highly collaborative nature of the team and the firm's on-site culture, remote work is not available for this position.