Senior DevOps/MLOps Engineer

About this role

#### Engineering

# Senior DevOps/MLOps Engineer

Remote

Full-Time

## Job Description

## Elevator Pitch

Leverege is hiring a Senior DevOps/MLOps Engineer. We build AI-native software that turns cameras into real-time visibility into physical operations, and our computer vision runs everywhere from managed Kubernetes in the cloud to a growing fleet of on-site edge servers in auto service centers, factories, and stores. This role owns the infrastructure that keeps all of it running and builds the systems that let us deploy and manage that edge fleet at scale.

This is a rare chance to join a high-trust, fully remote company and own platform and MLOps work that directly moves the business. If you love Kubernetes, think in terms of fleets rather than single servers, and want to own the GPU and edge infrastructure that gets computer vision to customers reliably, we would love to hear from you!

## The Opportunity

Leverege builds VisionAI software that helps businesses see what is happening across their physical operations. We connect to cameras, run proprietary computer vision models (often on a small edge appliance on-site), and deliver real-time operational insights to Fortune 500 customers across automotive service, manufacturing, and retail. Our products run on the Leverege Stack across per-customer environments in Google Cloud, with GPU and inference infrastructure supporting our machine learning team and a fleet of edge servers deployed at customer locations.

That footprint is scaling fast, from dozens of deployments toward hundreds, and the infrastructure needs to scale with it. Today, a lot of edge server provisioning and management is manual. We need someone to own the platform, harden it, and build the automation that makes deploying and updating a large edge fleet routine and safe.

You will be a senior individual contributor on the DevOps team. Success means our products ship reliably, our GPU and inference infrastructure keeps u...