ROLE

We need a backend engineer with strong DevOps/infrastructure expertise to build and own the core infrastructure for HILOS's AI-native 3D footwear design platform. This role is critical because we're building a no-CAD platform that processes complex 3D geometry data, integrates with our ML/computational geometry engine (Lab team), AND we need someone to own our entire infrastructure, deployment, and reliability strategy.

CURRENT CONTEXT

• Tech Stack: Node.js/Python backend, React frontend, cloud infrastructure (AWS/GCP)
• Team Structure: Small engineering team working closely with 3D geometry and AI/ML service teams
• Stage: Moving from beta to production - need robust, scalable infrastructure
• Key Technical Challenges:
  • Processing and storing complex 3D geometry data efficiently at scale
  • Building APIs that serve real-time 3D design interactions
  • Integrating with our ML models and geometry engine
  • Owning end-to-end infrastructure: CI/CD, monitoring, deployment, reliability
  • Scaling infrastructure cost-effectively as we grow user base
  • Ensuring system uptime and performance for design workflows

WHAT THIS PERSON NEEDS TO ACCOMPLISH

Backend Responsibilities (40%):

1. Design and implement scalable backend services for 3D data processing
2. Build robust APIs that integrate frontend, Lab's ML models, and geometry engine
3. Optimize database architecture for complex 3D geometry and design data
4. Collaborate with Lab team on ML model deployment and data pipelines
5. Work with frontend engineers to ensure seamless API integration

DevOps & Infrastructure Responsibilities (60%):

1. Own and manage cloud infrastructure (AWS/GCP) - compute, storage, networking
2. Design and maintain CI/CD pipelines for rapid, reliable deployments
3. Implement monitoring, logging, and alerting systems for production reliability
4. Manage infrastructure as code (Terraform, CloudFormation, etc.)
5. Optimize infrastructure costs while ensuring performance and scalability