Senior Blockchain Infrastructure Engineer - Core Systems

Werben HR LLC; Buenos Aires; Remote; ARS 91,155,000 - 136,732,000; Part time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Job summary

AgileEngine is seeking a part-time Data Engineering & Infrastructure Lead to audit AWS architecture, CI/CD processes, and SageMaker-based MLOps pipelines. You will mentor the team on engineering standards, weigh managed tooling versus custom builds, and guide data-ingestion architecture decisions.

Fluent English and strong communication are essential. The role emphasizes advisory duties (50% then 25%), with a focus on AWS, DevOps, and data engineering practices.

Qualifications

• 6+ years of hands-on AWS experience including ECS/Fargate, ECR, RDS Postgres, S3, SageMaker, EventBridge, VPC/ALB/CloudFront, IAM.
• Fluency in Infrastructure-as-code with 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 engineering-quality and cost-governance standpoint.
• Comfortable operating in a part-time advisory capacity (50% stepping down to 25%).
• Upper-intermediate English level.

Responsibilities

• Audit the current AWS architecture across live applications (ECS/ECR, RDS, S3, VPC, CloudFront, SageMaker-based MLOps).
• Review the CI/CD process and SDLC governance, recommending environment separation and release gating.
• Evaluate Claude Code usage for PRs, reviews, and cost management to meet engineering standards.
• Provide an early technical opinion on ETL/data-ingestion architecture (managed tools vs. custom builds).
• Mentor the infrastructure build team on AWS, DevOps, CI/CD, and data engineering practices.
• Set out recommendations and technical direction from audit findings.

Skills

AWS expertise

CI/CD governance

Data engineering depth

English communication

Mentoring

Tools

Terraform

SageMaker

Claude Code

Alembic

Job description

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.
• - Upper-intermediate English level.

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.

Requirements

• - 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.