Catalyst Operations & Analytics

Compensation

Full Description

Catalyst is looking for a highly skilled engineer to support the design, deployment, and optimization of our on-premises AI infrastructure. This role can be part-time, on-retainer, or structured as an independent contractor, with flexibility to expand to full-time if needed. What You’ll Work On: • Designing and maintaining on-prem AI stacks — GPU servers, local clusters, NAS storage • Building and managing Docker/Docker Compose environments • Optimizing model-inference pipelines for speed and reliability • Developing backend services and APIs for AI applications • Automating system setup and maintenance with Bash, Python, or PowerShell • Managing GPU drivers, CUDA, and dependency stacks • Implementing logging, metrics, and fault-tolerant distributed systems • Integrating AI systems with local networks (DNS, SSL/TLS, reverse proxy, firewall, auth) • Maintaining clear documentation and deployment procedures Required Expertise: • Strong proficiency in Python, JavaScript, and full-stack development • Proven experience running GPU-accelerated workloads in Linux environments • Deep knowledge of Docker, GPU runtime management, and multi-container orchestration • Linux server administration, security hardening, and user-permission management • Networking fundamentals (VLANs, NAT, DNS, reverse proxying) • System performance tuning (CPU/GPU/RAM) • Ability to read/debug code without IDE or internet access REQUIRED: Must hold an active TS/SCI Full Scope clearance.