IMC

Operate and evolve large-scale data infrastructure that powers trader analysis, simulation, reporting, and insights. You’ll focus on reliability, automation, monitoring, and platform expansion across a global data engineering team.

Build high-performance software and data platforms that ingest, curate, and expose petabytes of fundamental options data for IMC’s trading researchers and strategies. You’ll shape architecture, enable data curation, and deliver reliable tooling in a fast-moving trading environment.

Build high-performance Java software for trading, risk management, and strategy teams at IMC. You’ll own applications end to end, from requirements gathering through production, in a fast-moving quantitative trading environment.

Join IMC Trading’s global Platform Engineering team as a hands-on Systems Engineer improving the infrastructure behind source control, CI, artifact management, observability, and developer services. You’ll help build highly automated, reliable operations across on-premises environments and AWS while applying AI to platform operations.

Site Reliability Engineer responsible for keeping high-volume, low-latency trading systems available, stable, and performant. The role combines production troubleshooting, root-cause resolution, safe software releases, and collaboration with traders and engineering teams.

Join IMC’s research data team to build and operate Java- and Python-based applications and data pipelines that deliver reliable, curated options data for researchers and traders. You’ll improve data quality, platform reliability, and global research capabilities in a collaborative trading technology environment.

The Kubernetes Engineer will build and operate highly available on-premises Kubernetes platforms that support application teams across IMC Trading. This role combines infrastructure automation, cluster reliability, security, storage, networking, and disaster recovery.

Machine Learning Engineer Intern at IMC for Summer 2027, building systems that support training and deployment of large-scale machine learning models. The 10-week program combines hands-on projects, technical training, mentorship, and exposure to quantitative trading technology.