Key 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 Skills and Qualifications
· 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 Qualifications
· Familiarity with containerization technologies eg Docker Kubernetes
· Experience with monitoring and observability tools
Skills
AWS-INFRA-SERVICES
AWS and Snowflake Administrator with MLOps and Automation Expertise