Data Engineer - Infrastructure
Chicago, United States
- Pay
USD 175,000–225,000/yearAnnual period assumed — pay source
Salary Range $175,000—$225,000 USD About Us
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, deploy and operate large-scale storage infrastructure (Hadoop, enterprise, S3-compatible)
Tune Linux systems for I/O throughput and overall performance
Automate configuration and deployment with Ansible, Puppet or similar tools
Build observability into the platform with Prometheus and related tooling
Partner with engineering teams on storage and Kafka data solutions
From the employer’s posting
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
Tools in this posting
- Java
- Python
- Hadoop
- Kafka
- Kubernetes
- S3
Source — Tool mentions in context
- 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
Your 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
- Familiarity with open-source, S3 API compliant, and enterprise storage technologies - Working knowledge of the Hadoop ecosystem, including YARN - Experience in Java and Python
- 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
- Partner with engineering teams to deliver reliable, well-architected data solutions with a focus on Storage and Kafka - Familiarity with Kubernetes Your Skills & Experience:
- 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
About IMC
A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 6, 2026 · 84 days ago
- Recorded sightings
- 83
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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.
Your 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
Your 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
The Base Salary range for the role is included below. 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. Please visit Benefits - US | IMC Trading for more comprehensive information.
About Us
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 management 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.
Source details
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- Pay
Salary Range $175,000—$225,000 USD About Us
- Location & working pattern
Chicago, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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