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Compute Engineering Lead

• Posted 13 days ago • Updated 13 days ago

Full Time

On-site

Fitment

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Job Details

Skills

Design Automation
Writing
Mentorship
Collaboration
Storage
Team Leadership
Kubernetes
Linux
Systems Engineering
Python
Servers
Problem Solving
Conflict Resolution
Communication
Trading
Quantitative Research
High Performance Computing
HPC
Distributed Computing
Computer Networking
Routing
Switches
DNS
Dragon NaturallySpeaking
GPU
Artificial Intelligence
Machine Learning (ML)
Research

Summary

Compute Engineering Team Lead

Location: Chicago, or New York City, onsite

An elite global Hedge Fund is seeking a hands-on Compute Engineering Team Lead to lead and actively contribute to the design, automation, and operation of a large-scale compute platform. As a hands on leader you will spend a significant portion of you time architecting solutions, writing code, troubleshooting infrastructure, and partnering with engineers to solve complex technical challenges.

Responsibilities

Lead and mentor a team of compute and infrastructure engineers while remaining deeply involved in day-to-day technical work.
Design, build, and operate large-scale bare-metal Kubernetes and Linux platforms.
Drive automation, tooling, and platform improvements using Python and Infrastructure-as-Code practices.
Partner with developers, researchers, and business stakeholders to deliver scalable and reliable compute services.
Collaborate with networking, storage, and platform teams to optimize performance, reliability, and efficiency.
Establish engineering standards, operational best practices, and long-term platform strategy.

Requirements

8+ years of infrastructure, platform, Linux, or systems engineering experience.
Prior experience leading engineers as a manager, tech lead, or team lead.
Extensive hands-on experience operating bare-metal Kubernetes environments at scale.
Deep expertise with Linux systems engineering and performance troubleshooting.
Strong Python skills for automation and platform tooling.
Experience supporting large compute environments consisting of thousands of servers.
Excellent problem-solving and communication skills.

Preferred Experience

Trading firm, hedge fund, quantitative research, or other performance-sensitive environments.
High Performance Computing (HPC), distributed computing, or large-scale research platforms.
Networking knowledge including TCP/IP, routing, switching, DNS, and low-latency infrastructure.
Experience with Slurm or similar workload schedulers.
Exposure to GPU, AI/ML, or large-scale research compute environments.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90922487
Position Id: 24502210
Posted 13 days ago

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