Storage Engineer

Selby Jennings; Chicago (IL); On-site; USD 130,000 - 170,000; Full time

Job summary

Selby Jennings is seeking a Storage Infrastructure Engineer for a high-performance trading firm in Chicago. The role focuses on evolving scalable storage platforms, optimizing Linux environments, and building reliable infrastructure from the ground up.

You will design, automate, and maintain storage ecosystems, collaborate with platform teams, and support data streaming with Kafka while leveraging Kubernetes and modern observability tools.

Qualifications

• 5+ years in infrastructure or platform engineering focusing on storage technologies.
• Strong Linux administration and performance tuning skills.
• Hands-on IaC and CM tools (Ansible and Puppet).
• Experience with distributed storage and data lake environments.
• Experience with large-scale data platforms and big data ecosystems.
• Proficiency in Python or Java.
• Familiarity with Prometheus and modern observability tools.
• Experience with Kubernetes and containerized infrastructure.
• Exposure to AI-assisted development tools is a plus.

Responsibilities

• Architect, deploy, and maintain large-scale storage platforms including distributed storage and data lakes.
• Optimize Linux systems for storage efficiency and throughput.
• Develop infrastructure automation with IaC/CM tools.
• Implement monitoring, alerting, and observability for reliability.
• Collaborate with engineering to deliver scalable data infrastructure.
• Support data streaming and messaging (Kafka) environments.
• Contribute to containerized infrastructure initiatives with Kubernetes.

Skills

Linux administration

Performance tuning

Python/Java

Observability

Ansible/Puppet

Kubernetes

Distributed storage

Data streaming (Kafka)

Tools

Ansible

Puppet

Prometheus

Kafka

Kubernetes

Job description

Our client, a high-performance technology-driven trading firm, is seeking a Storage Infrastructure Engineer to help evolve and scale the platforms that support large-scale data storage, processing, and distribution across the business. This role is ideal for an engineer who enjoys working deep within Linux environments, optimizing system performance, and building highly reliable infrastructure from the ground up.

As data volumes continue to expand, you will play a critical role in designing, automating, and maintaining the storage ecosystem that supports latency-sensitive workloads and data-intensive applications.

Responsibilities

Our client, a high-performance technology-driven trading firm, is seeking a Storage Infrastructure Engineer to help evolve and scale the platforms that support large-scale data storage, processing, and distribution across the business. This role is ideal for an engineer who enjoys working deep within Linux environments, optimizing system performance, and building highly reliable infrastructure from the ground up.

As data volumes continue to expand, you will play a critical role in designing, automating, and maintaining the storage ecosystem that supports latency-sensitive workloads and data-intensive applications.

• Architect, deploy, and maintain large-scale storage platforms, including distributed storage systems, object storage solutions, and data lake environments
• Optimize Linux systems for storage efficiency, throughput, and overall performance
• Develop and enhance infrastructure automation using tools such as Ansible, Puppet, or similar frameworks
• Implement monitoring, alerting, and observability solutions to improve platform reliability and operational visibility
• Collaborate with software and platform engineering teams to deliver scalable data infrastructure solutions
• Support and enhance data streaming and messaging technologies, including Kafka-based environments
• Contribute to containerized infrastructure initiatives leveraging Kubernetes and related technologies

Requirements

• 5+ years of experience in infrastructure, systems, or platform engineering with a focus on storage technologies
• Strong expertise in Linux administration, troubleshooting, and performance tuning
• Hands-on experience with infrastructure-as-code and configuration management tools such as Ansible or Puppet
• Knowledge of distributed storage platforms, object storage technologies, and enterprise storage environments
• Experience supporting large-scale data platforms and big data ecosystems
• Programming or scripting experience with Python, Java, or similar languages
• Familiarity with modern observability and monitoring solutions, including Prometheus
• Experience working within highly automated engineering environments and leveraging AI-assisted development tools
• Exposure to container orchestration platforms such as Kubernetes

Preferred Background

• Experience supporting large-scale data pipelines, analytics infrastructure, or real-time data environments
• Familiarity with high-performance computing, low-latency infrastructure, or financial technology environments
• Understanding of distributed systems architecture and scalability best practices