Remote Latam Mining Process & Infrastructure Lead

Fullstack; Quilmes; Remoto; ARS 121.164.000 - 181.747.000; Part-time

Descrizione del lavoro

AgileEngine is seeking a part-time Data Engineering & Infrastructure Lead to audit AWS architecture, CI/CD processes, and ETL decisions in an advisory capacity. The role weighs managed tooling vs. custom builds, reviews SageMaker-based pipelines, and mentors the team on engineering standards.

Claude Code usage and AI-assisted workflows are evaluated for quality and cost governance. You will report findings to leadership, setting technical direction and risk readiness.

Competenze

• 6+ years hands-on AWS experience including ECS/Fargate, ECR, RDS Postgres, S3, SageMaker, and networking components.
• Fluency with Terraform IaC.
• Proven track record auditing CI/CD pipelines and SDLC governance.
• Strong data engineering depth for ETL/integration architecture.
• Experience evaluating AI-assisted development workflows (Claude Code).
• Part-time advisory capacity (50% moving to 25%).

Mansioni

• Audit the current AWS architecture across live applications, including ECS/ECR, RDS Postgres, S3, VPC, CloudFront, and SageMaker-based pipelines.
• Review CI/CD process and SDLC governance, suggesting environment separation and release gating.
• Assess Claude Code usage for code generation and reviews to ensure engineering standards.
• Provide early technical opinions on ETL/ingestion architecture and tool choices.
• Mentor the infrastructure build team, focusing on AWS, DevOps, CI/CD, and data engineering practices.
• Set recommendations and technical direction from audit findings for leadership.
• Report findings and recommendations directly to leadership with risk framing.

Conoscenze

AWS

Terraform

CI/CD governance

Data engineering

MLOps awareness

Leadership

Claude Code

Strumenti

ECS/Fargate

ECR

RDS Postgres

S3

SageMaker

EventBridge

VPC/ALB/CloudFront

IAM

Claude Code

Alembic

Descrizione del lavoro

Data Engineering & Infrastructure Lead ID88014

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :)

ABOUT THE ROLE

We are looking for a part-time Data Engineering and Infrastructure Lead to audit AWS architecture, CI/CD processes, and ETL pipeline decisions in an advisory capacity. This person weighs managed tooling against custom builds, reviews SageMaker-based MLOps pipelines, and mentors the team on engineering standards. Evaluating AI-assisted development workflows is part of the role.

WHAT YOU WILL DO

• Audit the current AWS architecture across live applications (MAT / Signal IQ and the Impact Engine), including ECS/ECR, RDS (Postgres), S3, VPC, CloudFront/SSO, and SageMaker-based MLOps pipeline design.
• Review the CI/CD process and end-to-end app development lifecycle, recommending SDLC governance layers (schema versioning, environment separation, release gating).
• Evaluate how the team uses Claude Code (PR generation, automated reviews, token/cost management) to confirm output meets professional engineering standards.
• Provide an early technical opinion on ETL / data-ingestion pipeline architecture (managed ELT tooling vs. custom build).
• Mentor and accelerate the day-to-day infrastructure build team, focusing on AWS, DevOps, CI/CD, and data engineering practices.
• Set out recommendations and technical direction where the audit surfaces necessary changes to the current build.
• Report findings and recommendations directly to leadership, framing high-level risk and readiness.

MUST HAVES

• 6+ years of deep, current hands-on experience with AWS: ECS/Fargate, ECR, RDS (Postgres), S3, SageMaker, EventBridge, VPC/ALB/CloudFront, IAM.
• Fluency in Infrastructure-as-code, specifically Terraform.
• Proven track record designing or auditing CI/CD pipelines and SDLC governance (e.g., Alembic for schema/version control, environment separation, release gating).
• Strong data engineering depth to provide defensible opinions on ETL / ingestion architecture (managed tools vs. custom builds).
• Experience evaluating AI-assisted / LLM-assisted development workflows (e.g., Claude Code) from an engineering-quality and cost-governance standpoint.
• Comfortable operating in a part-time advisory capacity (50% stepping down to 25%) as a strong communicator who can mentor less experienced engineers.

NICE TO HAVES

• Prior experience working with small, fast-moving engineering teams.
• Understanding of MLOps pipelines and data science infrastructure.
• Media/AdTech domain knowledge is helpful but not required