Senior MLOps Platform Engineer

Role Overview

• Design, implement, and operate a unified MLOps platform
• Develop reusable CI/CD pipelines for model packaging and testing
• Build observability stacks to track performance
• Create self-service tooling for data science teams
• Collaborate with research engineers to translate prototypes into production services
• Drive performance optimization and champion best practices

Requirements

• BS in computer science or related engineering field
• 5+ years of experience building and operating production grade software infrastructure
• Deep expertise with Kubernetes and container runtimes
• Hands on experience with AWS services
• Strong software engineering skills in Python and at least one compiled language
• Proficiency with CI/CD and GitOps tooling
• Solid understanding of distributed systems
• Experience with data engineering frameworks
• Familiarity with observability stacks

Tech Stack

• AWS
• Distributed Systems
• Kubernetes
• Python

Benefits

• Health insurance
• Wellness programs
• Financial benefits
• Retirement plans
• Paid time off
• Continuing education opportunities