Senior AWS Cloud Platform Engineer (SageMaker)

System One; Lafayette (LA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Job summary

System One seeks an experienced Senior Cloud Platform Engineer to strengthen its enterprise Analytics, Data Science, and Machine Learning platforms. The role focuses on AWS SageMaker and related tooling, with responsibilities across automation, security, and modernization of cloud-based analytics environments.

The position is hybrid – onsite and remote, in Lafayette, LA or other listed US locations, with collaboration across cross-functional teams and vendors.

Qualifications

• 8+ years of cloud engineering, DevOps, or infrastructure experience.
• Extensive hands-on AWS services experience in cloud-native environments.
• Proven experience with AWS SageMaker or similar ML/Data Science platforms.
• Proficiency in scripting/automation with Python or Shell.
• Familiarity with Terraform and CI/CD pipelines.
• Strong troubleshooting and root-cause analysis skills.
• Experience securing cloud environments (IAM and access controls).

Responsibilities

• Build automation to enhance platform reliability and security across AWS environments.
• Drive modernization of enterprise Analytics, Data Science, and Machine Learning platforms.
• Collaborate with platform engineers and cross-functional teams to deliver system enhancements.
• Resolve complex technical issues related to cloud infrastructure and data science tooling.
• Implement security measures, including IAM and access controls, and reduce manual operational work through automation.
• Support migration, decommissioning, and legacy system closeout initiatives.
• Document processes clearly and work effectively with security, DevOps, application teams, and vendors.

Skills

Cloud engineering

AWS concepts

DevOps tooling

Automation

Tools

Python

Shell

Terraform

CI/CD

SageMaker

Job description

System One seeks an experienced Senior Cloud Platform Engineer to strengthen its enterprise Analytics, Data Science, and Machine Learning platforms. The role focuses on AWS SageMaker and related tooling, with responsibilities across automation, security, and modernization of cloud-based analytics environments.

The position is hybrid – onsite and remote, in Lafayette, LA or other listed US locations, with collaboration across cross-functional teams and vendors.