Senior Data Storage & Infra Platform Engineer

Fintal Partners; Chicago (IL); Vor Ort; USD 120.000 - 190.000; Vollzeit

Zusammenfassung

Fintal Partners in Chicago seeks an Engineer to join our Data Engineering Infrastructure group, building and scaling storage and data platforms for a high-frequency trading operation. This is a hands-on role near the hardware, tuning Linux for performance and automating infrastructure.

You will deploy large-scale storage across Hadoop and S3 systems, add observability with Prometheus, and collaborate with engineers on data solutions, Kafka, and related tooling.

Qualifikationen

• 5+ years in systems engineering with a focus on data storage.
• Strong Linux fundamentals and I/O performance tuning.
• Practical experience using Ansible and Puppet for automation.
• Knowledge of open-source, S3 API-compatible and enterprise storage technologies.
• Working understanding of the Hadoop ecosystem, including YARN.
• Java and Python experience.
• Comfortable using AI-assisted development tools (e.g. Claude) in an enterprise environment.
• Experience with Prometheus monitoring and alerting.

Aufgaben

• Build, deploy and run large-scale storage infrastructure across Hadoop, enterprise storage and S3-compatible systems.
• Optimize Linux systems for I/O throughput and general performance.
• Automate deployment and configuration with Ansible, Puppet or similar tools.
• Add observability to the platform using Prometheus and associated tooling.
• Work with engineering teams to deliver robust data solutions, especially around storage and Kafka.
• Some exposure to Kubernetes.

Kenntnisse

5+ years in systems engineering

Linux performance tuning

Debugging ability

Observability mindset

Tools

Ansible

Puppet

Hadoop

YARN

Prometheus

Kubernetes

Kafka

S3-compatible storage

Jobbeschreibung

Fintal Partners in Chicago seeks an Engineer to join our Data Engineering Infrastructure group, building and scaling storage and data platforms for a high-frequency trading operation. This is a hands-on role near the hardware, tuning Linux for performance and automating infrastructure.

You will deploy large-scale storage across Hadoop and S3 systems, add observability with Prometheus, and collaborate with engineers on data solutions, Kafka, and related tooling.