Participate and drive scoping and technical requirements gathering sessions for developing and deploying Python, R or SAS
Optimize Analytics containers (Python/R) to maximize velocity, efficiency, and agility on cloud native services like ECS, EKS or AWS BATCH
Build, test and deploy new Infrastructure as Code leveraging all things AWS: Terraform, Gitlab/Jenkins, CloudFormation Templates, Code Pipeline, ECS/EKS (Docker), Lambda (R/Python), CloudWatch, Route53, S3, and more
Cost Optimization for Storage, EC2 instances and other resources
Required qualifications:
5+ years of production experience with setting up CI/CD pipelines in systems like Jenkins, AWS Code Pipeline
5+ years of production experience with core AWS services with experience automating AWS infrastructure
Experience with AWS cloud migrations
Strong knowledge of core AWS services- such as S3, EC2, CloudFormation, RDS, Lambda, Step Function, CloudWatch.