Part-Time Data Infra Lead: AWS, CI/CD & MLOps Advisory

AgileEngine, LLC.

Región Centro

On-site

MXN 1,629,000 - 2,715,000

Part time

5 days ago
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Benefits offered by this job

Professional growth
USD compensation
Challenging projects
Flextime

Job summary

AgileEngine, LLC. in Mexico is seeking a part-time Data Engineering & Infrastructure Lead to audit AWS architecture, CI/CD processes, and ETL pipeline decisions in an advisory capacity.

Responsibilities include evaluating SageMaker-based ML workflows, reviewing tooling choices, and mentoring the team on engineering standards. The role emphasizes hands-on yet flexible engagement (50% stepping down to 25%), with a focus on cost governance, data integrity, and scalable infrastructure.

Qualifications

  • 6+ years hands-on AWS experience across ECS/Fargate, RDS, S3, SageMaker.
  • Fluency with Infrastructure-as-code, Terraform.
  • Proven track record auditing CI/CD pipelines and SDLC governance.
  • Strong data engineering background for ETL/ingestion architecture.
  • Experience evaluating AI-assisted development workflows (Claude Code).
  • Ability to mentor engineers in a part-time advisory role.

Responsibilities

  • Audit AWS architecture across live apps and services.
  • Review CI/CD processes and SDLC governance.
  • Evaluate Claude Code usage for engineering quality and cost.
  • Provide early technical opinions on ETL/data ingestion architectures.
  • Mentor day-to-day infra build team.

Skills

AWS Expertise
Terraform
CI/CD & SDLC
Data Engineering
AI/LLM Governance
Mentoring/Leadership
Part-time Advisory

Tools

Claude Code
CI/CD tooling
Terraform

Job description

AgileEngine, LLC. in Mexico is seeking a part-time Data Engineering & Infrastructure Lead to audit AWS architecture, CI/CD processes, and ETL pipeline decisions in an advisory capacity.

Responsibilities include evaluating SageMaker-based ML workflows, reviewing tooling choices, and mentoring the team on engineering standards. The role emphasizes hands-on yet flexible engagement (50% stepping down to 25%), with a focus on cost governance, data integrity, and scalable infrastructure.

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