Description: Client is seeking a skilled AWS Cloud and Snowflake Administrator with additional expertise in MLOps and automation The ideal candidate will have a strong background in cloud infrastructure data warehousing machine learning operations and automation practices
Responsibilities:
- Manage and optimize AWS cloud infrastructure and Snowflake data warehouse environments
- Implement and maintain AWS IAM security policies and best practices
- Conduct regular vulnerability assessments and manage patching processes
- Design and implement MLOps pipelines for efficient model development deployment and monitoring
- Develop automation scripts and workflows to streamline cloud operations and data processes
- Troubleshoot and resolve complex issues in AWS Snowflake and ML environments
- Collaborate with data scientists and engineers to improve ML model deployment and performance
- Develop and implement disaster recovery and business continuity plans
Required:
- Proven experience as an AWS Cloud Administrator and Snowflake Administrator
- Indepth knowledge of AWS services especially IAM EC2 S3 RDS and SageMaker
- Strong understanding of Snowflake architecture and administration
- Expertise in AWS security best practices and compliance standards
- Experience in vulnerability management and patching in cloud environments
- Proficiency in MLOps practices and tools eg MLflow Kubeflow Amazon SageMaker
- Strong automation skills using scripting languages eg Python Bash and IaC tools eg Terraform CloudFormation
- Experience with CICD pipelines and version control systems eg Git Jenkins GitLab CI
- Excellent problemsolving and critical thinking skills
- Strong communication and collaboration abilities
- Relevant certifications eg AWS Certified Solutions Architect Snowflake SnowPro Core
Preferred:
- Familiarity with containerization technologies eg Docker Kubernetes
- Experience with monitoring and observability tools