Compute Engineering Lead
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.
FAQs
Congratulations, we understand that taking the time to apply is a big step. When you apply, your details go directly to the consultant who is sourcing talent. Due to demand, we may not get back to all applicants that have applied. However, we always keep your CV and details on file so when we see similar roles or see skillsets that drive growth in organisations, we will always reach out to discuss opportunities.
Yes. Even if this role isn’t a perfect match, applying allows us to understand your expertise and ambitions, ensuring you're on our radar for the right opportunity when it arises.
We also work in several ways, firstly we advertise our roles available on our site, however, often due to confidentiality we may not post all. We also work with clients who are more focused on skills and understanding what is required to future-proof their business.Â
That's why we recommend registering your CV so you can be considered for roles that have yet to be created.Â
Yes, we help with CV and interview preparation. From customised support on how to optimise your CV to interview preparation and compensation negotiations, we advocate for you throughout your next career move.