Data Engineer - Infrastructure

About the role

Join our Data Engineering Infrastructure team to 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, and automating infrastructure. As our data footprint grows, you will play a key part in keeping our infrastructure fast, reliable, and ready to scale.

Core 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

Skills & Experience

• 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

Pay

Base Salary Range: $175,000 - $225,000 USD. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance.