Data Engineer - Infrastructure

Reposted 8 Days Ago
Chicago, IL, USA
Hybrid
Senior level
Fintech • Machine Learning • Software • Financial Services
IMC is a proprietary trading firm powered by research and technology.
The Role
Build, operate, and scale large-scale data storage platforms (Hadoop, S3-compatible, enterprise storage). Tune Linux for I/O performance, automate deployments with Ansible/Puppet, implement observability with Prometheus, and partner with engineers on storage- and Kafka-focused data solutions. Familiarity with Kubernetes and development in Java/Python required.
Summary Generated by Built In
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 in an enterprise setting
  • Experience with Prometheus-based monitoring and alerting

Skills Required

  • 5+ years systems engineering experience focused on data storage
  • Strong Linux fundamentals and performance tuning for I/O throughput
  • Hands-on experience with Ansible and Puppet for configuration management
  • Familiarity with open-source, S3 API compliant, and enterprise storage technologies
  • Working knowledge of the Hadoop ecosystem, including YARN
  • Experience with Java and Python
  • Comfort using AI-assisted development tools such as Claude in an enterprise setting
  • Experience with Prometheus-based monitoring and alerting
  • Familiarity with Kubernetes
  • Experience designing, deploying, and operating large-scale data storage infrastructure (Hadoop, S3-compatible, enterprise storage)

What the Team is Saying

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The Company
HQ: Amsterdam
1,954 Employees
Year Founded: 1989

What We Do

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

Why Work With Us

At IMC, the best ideas win, regardless of hierarchy. Graduates receive mentorship and make an impact from day one, while experienced hires get to shape their own path in a flexible, high-performance environment. We remove barriers so everyone can grow and help drive one of the world’s leading liquidity providers.

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