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Backend Software Engineer - MLOps & Cloud Infrastructure jobs in United States
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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.
TransportationSoftwareInformation TechnologyParking
Hiring Manager
Cooper Young
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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

AWSPythonMLOpsFastAPISQLAlchemyBoto3DockerKubernetesTerraformCI/CDAutomated testingAutonomous workSelf-motivated

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

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Spot Parking is a software platform that automates parking management.

Funding

Current Stage
Early Stage
Company data provided by crunchbase