Senior Infrastructure Engineer, AI/ML Systems

📋 Description

• Build and operate deployment pipelines for AI services
• Deploy and operate model serving, batch scoring, orchestration
• Collaborate with data scientists to take prototypes to production
• Own production reliability: monitoring, alerting, cost
• Create reusable templates from recurring patterns

🎯 Requirements

• Six+ years in infrastructure, DevOps, platform, or ML engineering
• Deep hands-on AWS experience across compute, networking, storage, monitoring
• Infrastructure-as-code: Terraform, CDK, or CloudFormation
• Containers and modern deployment patterns (Docker; Kubernetes/ECS/EKS)
• Orchestration/workflow tooling (Airflow, Dagster, Argo, Step Functions)
• Comfort with ambiguity and collaboration with data scientists

🎁 Benefits

• Competitive compensation with ownership program
• Flexible work culture: remote, hybrid, and in-office
• Generous time off and wellness programs
• Learning and development resources and tuition reimbursement
• Tools and environment to do your best work