Senior AWS Cloud Platform Engineer for ML & Analytics Infra

System One; Lafayette (LA); On-site; USD 130,000 - 180,000; Full time

Job summary

Systemone is seeking a Senior Cloud Platform Engineer to strengthen its enterprise Analytics, Data Science, and ML platforms. You will work hands-on across AWS SageMaker and related tooling to build automation and improve reliability and security.

The role focuses on modernization of the enterprise-scale ML infrastructure, collaborating with platform engineers and security teams to deliver secure, scalable solutions on AWS.

Qualifications

• 8+ years in cloud engineering, DevOps, or infrastructure engineering.
• Hands-on AWS in cloud-native environments.
• Experience with AWS SageMaker or enterprise ML/Data Science platform.
• Scripting with Python, shell, or similar.
• Practical experience with Terraform and CI/CD pipelines.
• Strong root-cause troubleshooting abilities.
• Experience securing cloud environments (IAM, access controls, remediation).
• Experience with monitoring/observability tools and performance tuning.
• Exposure to cloud cost optimization or FinOps practices.

Responsibilities

• Build automation and improve platform reliability and security.
• Drive modernization across the AWS ecosystem and ML infrastructure.

Skills

DevOps

Cloud security

Automation

Python scripting

Troubleshooting

Documentation

Collaboration across teams

SageMaker experience

Education

Bachelor's degree in Computer Science or related field

Tools

AWS SageMaker

Terraform

CI/CD pipelines

GitLab

Job description

Systemone is seeking a Senior Cloud Platform Engineer to strengthen its enterprise Analytics, Data Science, and ML platforms. You will work hands-on across AWS SageMaker and related tooling to build automation and improve reliability and security.

The role focuses on modernization of the enterprise-scale ML infrastructure, collaborating with platform engineers and security teams to deliver secure, scalable solutions on AWS.