Data Engineering & Infrastructure Lead ID88014

AgileEngine, LLC.; Santiago de Querétaro; Híbrido; MXN 2.037.000 - 3.056.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a part-time Data Engineering & Infrastructure Lead to audit AWS architecture, CI/CD pipelines, and ETL decisions. You will mentor the team on engineering standards and evaluate AI-assisted workflows, including Claude Code, to ensure quality and cost efficiency.

The role emphasizes a balance of advisory responsibilities (50% stepping down to 25%), Terraform-based infrastructure, and hands-on guidance across AWS services like SageMaker and RDS.

Formación

• 6+ years of hands‑on AWS experience (ECS/Fargate, ECR, RDS Postgres, S3, SageMaker, VPC/ALB, IAM)
• Fluency in Infrastructure-as-code (Terraform)
• Proven track record designing or auditing CI/CD pipelines and SDLC governance
• Strong data engineering depth to advise on ETL/ingestion architecture
• Experience evaluating AI-assisted development workflows (Claude Code) from quality and cost perspectives

Responsabilidades

• Audit AWS architecture across live apps (ECS/ECR, RDS, S3, VPC, CloudFront) and SageMaker MLOps pipelines
• Review CI/CD and SDLC governance; suggest environment separation and release gating
• Assess Claude Code usage for engineering quality and costs
• Provide early opinions on ETL/data-ingestion architecture (managed tools vs custom builds)
• Mentor infrastructure team and drive AWS, DevOps, CI/CD and data practices
• Present findings and strategic recommendations to leadership

Conocimientos

AWS expertise

CI/CD design

Data engineering depth

Infrastructure as code

Mentoring

Cloud architecture

Herramientas

Terraform

ECS/Fargate

RDS PostgreSQL

SageMaker

Claude Code

Alembic (schema/version control)

Descripción del empleo

Data Engineering & Infrastructure Lead ID88014

Full time | AgileEngine | Mexico

Posted On 09/09/2026

Job Information

City Querétaro

State/Province Querétaro

76000

IT Services

Job Description

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.

PERKS AND BENEFITS

• - Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
• - Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
• - A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
• - Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.