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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 Sage Maker-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, Cloud Front/SSO, and Sage Maker-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, Dev Ops, 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, Sage Maker, Event Bridge, VPC/ALB/Cloud Front, IAM. Fluency in Infrastructure-as-co

📌 Data engineering (Santiago de Querétaro)
🏢 Agileengine
📍 Santiago de Querétaro