Fleet Operations Engineer

ornn.com•New York, NY

2d•Onsite

About The Position

Ornn is building the financial infrastructure for AI compute. Our price indices are live on Bloomberg Terminal. We structure and trade compute hedging instruments. And we're now building a platform that brings exchange-grade mechanics like order management, matching, scheduling, and settlement to how compute capacity gets reserved and allocated. We're a lean team in New York, backed by leading venture and strategic investors. We're hiring a Fleet Operations Engineer to stand up, debug, and secure the systems that get GPUs into production.

Requirements

Strong low-level systems fundamentals (OS internals, performance, debugging)
Excellent in Python
Deep familiarity with Linux environments
Effective communicator and independent problem solver; you'll interface with customers, operators, and internal teams
A genuine interest in AI hardware: GPUs, accelerators, and the systems that feed them

Nice To Haves

Virtualization experience: KVM/QEMU, hypervisors, VM lifecycle management
Network security experience: hardening exposed nodes, VPNs/zero-trust access, firewalls, locking down cluster access
A genuine interest in AI hardware: GPUs, accelerators, and the systems that feed them

Responsibilities

Build and operate low-level systems infrastructure across Linux environments, from bare metal to VMs to orchestration
Provision and manage virtualized GPU compute (KVM/QEMU, GPU passthrough) alongside Kubernetes and Slurm workloads
Write production-grade Python daily; contribute to Rust services
Secure the node fleet with network segmentation, firewalls, access control, and secure-by-default configuration
Own problems end-to-end in a fast-paced environment with minimal hand-holding