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Compute Engineering Lead

Selby Jennings Chicago, États-Unis
Mise en ligne il y a 3 jours Au Bureau CDI USD500000 - USD800000 per annum

Compute Engineering Lead

Selby Jennings Chicago, États-Unis

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.


job_description_image
Référence  PR/600527
À PROPOS DE CETTE ENTREPRISE
New York, United States
1000 Collaborateurs Ressources humaines
We support the Financial Sciences & Services industry with talent that can truly shape the future of a business. Whether that be Quantitative Analyti...
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