AWS Cloud DevOps

Job description

The Cloud Data Platform Engineer will play a central role in the deployment, monitoring, and optimization of cloud platforms used by our data scientists. This role requires hands-on expertise in cloud infrastructure, modern DevOps practices, secure data operations, and automation frameworks. You’ll partner closely with data scientists, machine learning engineers, and data engineers to ensure our analytics systems run securely, efficiently, and at scale. You’ll work with our Platform Engineering team to define and implement these patterns so they can be codified and reused across our organization. Location: Remote, preferably US-based: Primary Responsibilities: Cloud Infrastructure & Operations: - Manage, scale, and optimize cloud environments used for data science workloads (primarily AWS, Databricks, dbt). - Provision, maintain, and optimize compute clusters for ML workloads (e.g., Kubernetes, ECS/EKS, Databricks, SageMaker). - Implement and maintain high-availability solutions for mission-critical analytics platforms. - Deep expertise in AWS resource management and provisioning, including IAM roles and permissions. DevOps & Automation: - Develop CI/CD pipelines for model deployme...