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Maintain and develop the firm's Linux-based infrastructure across on‑prem and cloud: build and integrate platform tools, automate operations, troubleshoot production incidents, perform upgrades/migrations, and act as an in-house Linux expert advising other engineers.

Maintain and build the firm's Linux infrastructure across on-prem and cloud: packaging (Nix/RPM), kernels/drivers, storage, networking, automation, incident diagnosis, upgrades, and platform tooling. Act as Linux expert, teach others, automate operational work, and run production systems reliably.

Manage engineering initiatives through the entire lifecycle, coordinating projects, communicating schedules, and ensuring timely delivery while collaborating across teams.

The Machine Learning Educator will develop and teach ML programs, mentor teachers, and write code to enhance learning at Jane Street.

The Unified Communications Engineer will manage global voice and video infrastructure, configure Cisco UC products, and integrate cloud conferencing technologies while troubleshooting issues and ensuring system stability.

This role focuses on Business Development in China, managing bank and broker relationships, optimizing financing, and navigating market complexities while building partnerships.

Work alongside full-time IT engineers to design, deploy, secure, and maintain Windows automation and infrastructure. Develop and improve tools, CI/CD pipelines, configuration management, and monitoring solutions. Write code in OCaml, F#/C#, and PowerShell, implement editor and workflow improvements, and collaborate on mission-critical projects under mentor guidance.

Hands-on internship supporting configuration and operation of Windows and Linux systems, desktop engineering, Windows domain infrastructure, networking, and monitoring. Tasks include responding to support requests, building/configuring devices, scripting with PowerShell/Bash, documenting systems, and working closely with mentors and end users in a fast-paced office.

Interns support and optimize trading desk infrastructure and operational processes, execute data queries, coordinate with stakeholders, and design/implement solutions for trading and operations challenges while learning trading product lifecycle, regulatory considerations, and workflows.

Work alongside full-time researchers to analyze large financial datasets, design experiments, engineer features, build and test models and trading strategies using statistical and ML techniques. Participate in classes, seminars, and hands-on projects covering time series analysis, model productionization, and end-to-end strategy development.