Data Engineering & Infrastructure Lead ID88014

AgileEngine, LLC.; Ciudad de Mendoza; Híbrido; ARS 181.190.000 - 241.586.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD compensation

Exciting projects with Fortune 500 and

Flextime: work from home or office

Descripción de la vacante

AgileEngine in Argentina seeks a part-time Data Engineering and Infrastructure Lead to audit AWS architecture, CI/CD processes, and ETL decisions in an advisory capacity. You will weigh managed tooling vs custom builds, review SageMaker-based MLOps pipelines, and mentor the team on engineering standards.

Evaluating AI-assisted workflows is part of the role. You will work with a fast-moving team across data, infra, and DevOps to set direction, governance, and cost controls while guiding

Formación

• 6+ years AWS hands-on experience (ECS/Fargate, ECR, RDS, S3, SageMaker, IAM).
• Fluency with IaC using Terraform for scalable infra.
• Proven track record auditing CI/CD pipelines and SDLC governance.
• Strong data engineering depth for ETL/ingestion architecture.
• Experience evaluating AI-assisted development workflows.
• Comfortable with part-time advisory capacity and mentoring.

Responsabilidades

• Audit current AWS architecture across live applications and services.
• Review and improve CI/CD processes and release governance.
• Evaluate Claude Code usage for quality and cost management.
• Advise on ETL/data-ingestion architecture and tooling choices.
• Mentor infrastructure build team on AWS, DevOps, and data practices.
• Provide leadership with high-level risk and readiness findings.

Conocimientos

AWS expertise

Terraform IaC

CI/CD pipelines

SDLC governance

ETL/data architecture

ML/AI workflows

Mentoring

Part-time advisory

Herramientas

Claude Code

SageMaker

Descripción del empleo

Data Engineering & Infrastructure Lead ID88014

Full time | AgileEngine | Argentina

Posted On 09/09/2026

Job Information

City MENDOZA

State/Province Mendoza

5500

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.