Spot Parking · 2 days ago
Backend Software Engineer - MLOps & Cloud Infrastructure
Spot Parking is building next generation parking infrastructure powered by computer vision and real time data. We are hiring a Backend Engineer focused on MLOps and Cloud Infrastructure who will own critical backend systems that deploy, serve, scale, support, and monitor our computer vision models.
Responsibilities
Building and maintaining data pipelines between network cameras, databases, and inference clusters
Deploying and scaling ML models across AWS compute environments
Designing and optimizing backend services and APIs
Implementing deployment workflows, validation systems, and load testing
Optimizing compute cost across AWS infrastructure
Dockerizing services and deploying containerized workloads
Improving CI/CD workflows and deployment automation
Qualification
Required
3+ years of industry experience in backend, cloud, or MLOps roles
Authorized to work in the United States
Located in or near Lehi, UT or willing to relocate
Deep understanding of AWS and cloud compute architecture
Strong Python experience
FastAPI
SQLAlchemy
Boto3
Comfortable working with AI tools and leveraging them to move faster
Self-motivated and able to work quickly and autonomously
Preferred
Terraform or other Infrastructure as Code experience
CI/CD and automated testing experience (i.e. GitHub Actions)
Docker and Kubernetes experience
Experience deploying and monitoring production ML systems
Company
Spot Parking
Spot Parking is a software platform that automates parking management.
Funding
Current Stage
Early StageCompany data provided by crunchbase