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.

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