Senior Storage & Data Infrastructure Engineer

Selby Jennings; Chicago (IL); On-site; USD 175,000 - 225,000; Full time

Job summary

Selby Jennings seeks a Senior Storage & Data Infrastructure Engineer in Chicago to design, build, and operate large-scale storage and data platforms powering a performance-focused trading environment.

You will work close to Linux, distributed systems, and modern storage technologies, delivering reliable infrastructure with ownership and impact across teams. Strong Python/Java development and automation are essential.

Qualifications

• 6+ years in systems, infra, storage, or distributed engineering.
• Strong Linux fundamentals and performance troubleshooting.
• Professional Python and Java development experience.
• Experience building infra tooling and services.
• Experience with distributed storage tech: Hadoop, Ceph, S3-like.
• Automation experience: Ansible, Puppet, Terraform.
• Kubernetes familiarity with containerized infra.

Responsibilities

• Design, build, and operate large-scale storage and data platforms.
• Develop infrastructure tooling in Python and Java.
• Optimize Linux systems for throughput and latency.
• Engineer storage solutions using open-source, enterprise, and S3-compatible tech.
• Build automation for provisioning, deployment, and lifecycle management.
• Drive observability with Prometheus and related monitoring tools.
• Collaborate with teams supporting data and streaming platforms like Kafka.

Skills

Linux fundamentals

Performance troubleshooting

Python

Java

Distributed systems

Observability

Team collaboration

Tools

Ansible

Puppet

Terraform

Kubernetes

Kafka

Prometheus

Hadoop

Ceph

S3-compatible storage

Job description

Senior Storage & Data Infrastructure Engineer (PR/606142) Chicago, Illinois

Salary: USD175000 - USD225000 per annum

Join a team where infrastructure is a competitive advantage.

We're looking for an engineer to join a leading trading firm in Chicago to help build and scale the storage and data platforms that power one of the most performance-sensitive environments in the world. This is a hands-on role for someone who enjoys working close to Linux, distributed systems, and large-scale storage infrastructure.

Unlike many infrastructure roles, your work will have direct visibility and impact. Engineers here are trusted with significant ownership, move quickly from idea to implementation, and work alongside exceptionally strong peers in an environment that prizes technical excellence and continuous improvement.

What You'll Do

• Design, build, and operate large-scale storage and data platforms
• Develop and maintain infrastructure services and tooling in Python and Java
• Optimize Linux systems for throughput, latency, and operational efficiency
• Engineer reliable storage solutions using open-source, enterprise, and S3-compatible technologies
• Build automation for infrastructure provisioning, deployment, and lifecycle management
• Drive observability initiatives using Prometheus and related monitoring tools
• Partner closely with engineering teams supporting large-scale data and streaming platforms, including Kafka
• Influence architecture and technical direction as data volumes and platform demands continue to grow

What We're Looking For

• 6+ years of experience in systems, infrastructure, storage, or distributed systems engineering
• Strong Linux fundamentals and performance troubleshooting experience
• Professional software development experience in Python and Java
• Experience building operational tooling, platform services, or infrastructure applications
• Experience with distributed storage technologies such as Hadoop, Ceph, S3-compatible storage, or enterprise storage platforms
• Experience automating environments with Ansible, Puppet, Terraform, or similar technologies
• Familiarity with Kubernetes and containerized infrastructure
• Experience with Prometheus, monitoring, and observability platforms
• Strong understanding of scalability, reliability, and performance in production environments

Why Join?

• Solve infrastructure problems at meaningful scale
• Direct influence over architecture and engineering decisions
• Small, highly capable teams with exceptional technical talent
• Fast-moving environment with minimal bureaucracy
• Significant ownership and technical autonomy
• Highly competitive compensation and long-term growth opportunities