Senior DevOps Engineer, ML Infrastructure

Senior DevOps Engineer, ML Infrastructure at Serve Robotics

Base pay range

$155,000.00 / yr – $195,000.00 / yr (United States)

Remote available to qualified candidates in Canada : $130k - $160k CAD

Overview

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Responsibilities

• Deploy and maintain our ML training orchestration system that operates across multiple platforms.
• Manage cloud and on-premise environments for large-scale distributed data processing and ML training / inference systems.
• Automate deployment pipelines, monitoring, and alerting for ML and data services.
• Collaborate closely with data scientists, ML engineers, and autonomy teams to streamline experimentation and model deployment.
• Maintain and improve CI / CD systems to support rapid development and testing.
• Implement best practices for system security, reliability, and observability.
• Optimize infrastructure costs and ensure efficient resource utilization.
• Support internal developer productivity through tooling, documentation, and support.

Qualifications

What Makes You Stand Out

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industries

Technology, Information and Internet

Referrals increase your chances of interviewing at Serve Robotics by 2x.

#J-18808-Ljbffr