Remote Data & Infra Lead — AWS, CI/CD & MLOps

Bridgenext; Ciudad de Mendoza; Híbrido; ARS 135.820.000 - 196.185.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD 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. You will mentor the team on engineering standards and evaluate AI-assisted workflows like Claude Code.

Key responsibilities include auditing ECS/ECR, RDS, S3, VPC, and SageMaker-based pipelines, setting SDLC governance, and guiding data-ingestion architecture with a pragmatic mix of managed tools and custom builds.

Formación

• 6+ years of hands-on AWS experience (ECS/Fargate, ECR, RDS, S3, SageMaker)
• Fluency in Infrastructure-as-code (Terraform)
• Proven track record designing/auditing CI/CD pipelines and SDLC governance
• Strong data engineering depth for ETL/ingestion architecture
• Experience evaluating AI-assisted development workflows (Claude Code)
• Part-time advisory capacity with clear mentoring capabilities

Responsabilidades

• Audit AWS architecture across live apps (ECS/ECR, RDS, S3, VPC, SageMaker)
• Review CI/CD and SDLC, suggest governance layers
• Evaluate Claude Code use for quality and cost control
• Provide early opinions on ETL/data-ingestion pipelines
• Mentor infrastructure build team; drive AWS/DevOps practices
• Deliver leadership-facing findings and risk readiness

Conocimientos

AWS Expertise

Terraform

CI/CD Design

SDLC Governance

Data Engineering

MLOps / Claude Code

Leadership / Mentoring

Herramientas

Claude Code

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. You will mentor the team on engineering standards and evaluate AI-assisted workflows like Claude Code.

Key responsibilities include auditing ECS/ECR, RDS, S3, VPC, and SageMaker-based pipelines, setting SDLC governance, and guiding data-ingestion architecture with a pragmatic mix of managed tools and custom builds.