Remotely
awsdockerkubernetesterraformairflowcloudformationcdkecs/eks
Job Description
📋 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
