MLOps Engineer: AWS SageMaker & Terraform (Remote)

Guddge Infosol; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Guddge Infosol is seeking an experienced MLOps Engineer to own the reliability, deployment, and monitoring of a production ML pipeline powered by AWS SageMaker and Terraform. This remote role aligns with US Pacific Time and involves cross-account promotion of models and secure data handling.

You will maintain Terraform modules, develop CI/CD workflows in GitHub Actions, and ensure observability with structured logging and monitoring. Strong Python skills and Docker familiarity are required.

Qualifications

• 3+ years of MLOps experience supporting production systems.
• Strong hands-on AWS experience, especially data/ML services (Glue, SageMaker, Step Functions, S3, CloudWatch).
• Production Terraform experience with remote backend and multi-environment promotion.
• Solid Python skills for data processing and operational scripting.
• Proven experience operating CI/CD pipelines and diagnosing failures from logs/metrics.
• Working knowledge of Docker/containerized environments.

Responsibilities

• Operate and improve an end-to-end inference pipeline, ensuring reliable daily runs.
• Own infrastructure-as-code: manage Terraform modules and remote state; promote changes across environments.
• Build and maintain CI/CD workflows in GitHub Actions.
• Ensure full pipeline observability through structured logging and monitoring.
• Support model drift detection and data-quality checks; tune alert thresholds.
• Troubleshoot production incidents using runbooks and drive root-cause resolution.

Skills

MLOps

AWS data services

Python

CI/CD pipelines

Diagnostics from logs/metrics

Tools

Terraform

GitHub Actions

Docker

SageMaker

Job description

Guddge Infosol is seeking an experienced MLOps Engineer to own the reliability, deployment, and monitoring of a production ML pipeline powered by AWS SageMaker and Terraform. This remote role aligns with US Pacific Time and involves cross-account promotion of models and secure data handling.

You will maintain Terraform modules, develop CI/CD workflows in GitHub Actions, and ensure observability with structured logging and monitoring. Strong Python skills and Docker familiarity are required.