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AWS Cloud and Snowflake Administrator with MLOps and Automation Expertise

Job in Portland, Multnomah County, Oregon, 97201, USA
Listing for: Argyle Infotech
Full Time position
Listed on 2026-08-05
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, AWS
Job Description & How to Apply Below

AWS Cloud and Snowflake Administrator with MLOps and Automation Expertise

Location:

Portland Oregon USA (Hybrid)

Must Have: AWS and Snowflake Administrator with MLOps and Automation Expertise

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.

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
  • In-depth knowledge of AWS services especially IAM, EC2, S3, RDS, and Sage Maker
  • 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 e.g., MLflow, Kubeflow, Amazon Sage Maker
  • Strong automation skills using scripting languages e.g., Python, Bash and IaC tools e.g., Terraform, Cloud Formation
  • Experience with CICD pipelines and version control systems e.g., Git, Jenkins, Git Lab CI
  • Excellent problem-solving and critical thinking skills
  • Strong communication and collaboration abilities
  • Relevant certifications e.g., AWS Certified Solutions Architect, Snowflake Snow Pro Core

Preferred Qualifications:

  • Familiarity with containerization technologies e.g., Docker, Kubernetes
  • Experience with monitoring and observability tools

Skills:

AWS-INFRA-SERVICES, AWS and Snowflake Administrator with MLOps and Automation Expertise

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