Senior MLOps Platform Architect

Responsibilities:

• Design, build, and own MLOps infrastructure on AWS.

• Architect production Kubernetes clusters for ML model deployment.

• Build and maintain CI/CD pipelines for ML workloads.

Requirements:

• 5+ years in DevOps, SRE, or MLOps roles.

• Experience with Kubernetes and Terraform.

• Strong programming skills in Python or Go.

Benefits:

• Competitive fixed compensation.

• Remote-first work model.

• 20+ days of paid time off.