Own the production ML lifecycle: deployment, monitoring, scaling, retraining
Design CI/CD pipelines for apps, infra, and ML using AWS & GitHub Actions
Build cloud data infra using IaC (Terraform, CDK) with security and compliance
Develop data ingestion/transformation pipelines across structured and semi-structured sources
Partner with data science to ensure high-quality data in Snowflake using dbt
Implement observability and monitoring across services, data pipelines, and ML models

🎯 Requirements

6–8+ years of experience across DevOps, MLOps, and/or Data Engineering
Deep experience with AWS (SageMaker, ECS/EKS, Lambda, ECR, CloudWatch)
IaC: Terraform and AWS CDK
CI/CD: GitHub Actions
Containers/orchestration: Docker, ECS/Kubernetes
Advanced SQL and Python; Snowflake and dbt for data pipelines

🎁 Benefits

Base salary $160k-$190k; annual bonus and stock options
Generous PTO; medical, dental, vision insurance
401(k) plan with company match

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