Data Infrastructure Lead — Part-Time with AWS & MLOps

Parsons

Rosario

Hybrid

ARS 91,385,000 - 152,309,000

Part time

8 days ago
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Benefits offered by this job

Professional growth
Competitive USD compensation
Exciting projects
Flextime & remote options

Job summary

AgileEngine is seeking a part-time Data Engineering and Infrastructure Lead to audit AWS architecture, CI/CD processes, and ETL decisions in an advisory capacity. You will review SageMaker-based pipelines and mentor the team on engineering standards, including AI-assisted development workflows.

The role focuses on AWS-heavy infrastructure, IaC with Terraform, and delivering concrete recommendations to leadership.

Qualifications

  • 6+ years of hands-on AWS experience including ECS/Fargate, RDS, S3.
  • Fluency in Infrastructure-as-code, specifically Terraform.
  • Proven track record designing or auditing CI/CD pipelines and SDLC governance.
  • Strong data engineering depth to evaluate ETL/ingestion architecture.
  • Experience evaluating AI-assisted development workflows (Claude Code).
  • Comfortable in a part-time advisory capacity (50% to 25%).

Responsibilities

  • Audit current AWS architecture across live apps (ECS/ECR, RDS, S3, VPC).
  • Review CI/CD processes and SDLC governance recommendations.
  • Evaluate Claude Code usage for quality and cost governance.
  • Provide opinions on ETL/data ingestion architecture (managed vs custom).
  • Mentor the infrastructure build team in AWS, DevOps, CI/CD, data practices.
  • Set out recommendations and technical direction after audit.

Skills

AWS architecture
Terraform
CI/CD pipelines
Data engineering
AI/LLM workflows
Mentoring

Tools

SageMaker
Claude Code
ECS/Fargate

Job description

AgileEngine is seeking a part-time Data Engineering and Infrastructure Lead to audit AWS architecture, CI/CD processes, and ETL decisions in an advisory capacity. You will review SageMaker-based pipelines and mentor the team on engineering standards, including AI-assisted development workflows.

The role focuses on AWS-heavy infrastructure, IaC with Terraform, and delivering concrete recommendations to leadership.

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