IMCData Engineer - Infrastructure
IMC is hiring a Data Engineer - Infrastructure in Chicago, United States. It pays $175k-$225k a year and Level rates it ; you can apply on IMC.
Level's read on this job
- Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
- The listed pay starts 19% above the typical data engineer posting on Level.
- Tools and skills the posting cites include Claude, Hadoop and S3.
- Level classifies it as a mid-level role.
- Level lists 156 other open roles at IMC.
AI in this role
Design and scale data storage infrastructure and Linux systems for high-frequency trading platforms.
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.
Salary Range$175,000—$225,000 USDAbout 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.
How we rate this
Data Engineer - Infrastructure at IMC rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $175k
- Typical data engineer job
- $148k
This posting starts 19% above the typical data engineer job. See data engineer jobs
Questions you could be asked
- Tell me about a project where systems engineering was part of your work. What did you do?
- Tell me about a project where linux was part of your work. What did you do?
- Tell me about a project where storage infrastructure was part of your work. What did you do?
- Tell me about a project where performance tuning was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Systems Engineering, Linux, Storage Infrastructure, Performance Tuning, and Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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