Remote Email Infrastructure Engineer With Automation

Accenture Argentina; Rosario; A distancia; ARS 182.877.000 - 274.315.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Flextime

Remote work

Professional growth

Competitive USD compensation

Descripción de la vacante

AgileEngine is seeking a part-time Data Engineering & Infrastructure Lead to audit AWS architecture, CI/CD processes, and ETL decisions in an advisory capacity. You will review SageMaker-based ML workflows, mentor the team on engineering standards, and weigh managed tools against custom builds.

In this LATAM remote role, you’ll shape SDLC governance, data ingestion architecture, and provide early technical opinions on architecture while reporting to leadership.

Formación

• 6+ years hands-on AWS experience (ECS/Fargate, ECR, RDS, S3).
• Fluency with Terraform and IaC best practices.
• Proven track record auditing CI/CD pipelines and SDLC governance.
• Strong data engineering depth for ETL/ingestion architecture.
• Experience evaluating AI-assisted development workflows (Claude Code).
• Capable of mentoring engineers in a part-time advisory capacity.

Responsabilidades

• Audit AWS architecture across live apps and ML pipelines.
• Review CI/CD and SDLC governance; recommend improvements.
• Evaluate AI-assisted development workflows for cost and quality.
• Provide early technical opinions on ETL/data ingestion architecture.
• Mentor infra/build team; set technical direction.
• Report findings and risk readiness to leadership.

Conocimientos

AWS (ECS/Fargate)

Terraform

CI/CD pipelines

SDLC governance

ETL / data ingestion

AI tooling (Claude Code)

Mentoring

Herramientas

SageMaker

Alembic

CloudFront

Descripción del empleo

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.

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.

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