Part-Time Data & Infrastructure Lead (AWS, MLOps)

AgileEngine; Santiago del Estero; Híbrido; ARS 135.601.000 - 195.869.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Descripción de la vacante

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. Mentoring the team on engineering standards and evaluating AI-assisted workflows are key elements of the role.

The candidate should have 6+ years of hands-on AWS experience, Terraform proficiency, and strong data engineering depth, with upper-intermediate English.

Formación

• 6+ years of hands-on AWS experience across ECS/Fargate, ECR, RDS Postgres, S3, SageMaker, VPC/ALB, IAM.
• Fluency with Infrastructure-as-code, specifically Terraform.
• Proven track record auditing CI/CD pipelines and SDLC governance.
• Strong data engineering depth for ETL/ingestion architecture decisions.
• Experience evaluating AI-assisted development workflows (Claude Code) for quality and cost governance.
• Comfort with part-time advisory capacity (50% to 25%) and mentoring.
• Upper-intermediate English proficiency.

Responsabilidades

• Audit AWS architecture across live apps (ECS/ECR, RDS, S3, VPC, CloudFront, SageMaker).
• Review CI/CD and SDLC governance, including environment separation and release gating.
• Evaluate Claude Code usage for output quality and cost management.
• Advise on ETL/data-ingestion architecture (managed tools vs custom builds).
• Mentor and accelerate the infrastructure build team in AWS, DevOps, CI/CD, and data engineering practices.
• Provide recommendations and technical direction after audit.
• Report findings to leadership with framing of risk and readiness.

Herramientas

Terraform

Claude Code

SageMaker

ECS/Fargate

ECR

RDS (Postgres)

S3

CloudFront

IAM

Descripción del empleo

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. Mentoring the team on engineering standards and evaluating AI-assisted workflows are key elements of the role.

The candidate should have 6+ years of hands-on AWS experience, Terraform proficiency, and strong data engineering depth, with upper-intermediate English.