Data Engineering & Infrastructure Lead ID88014

AgileEngine, LLC.

Salvador

Híbrido

BRL 150 000 - 230 000

Tempo parcial

Há 4 dias
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Vantagens oferecidas por esta oferta de emprego

Professional growth
Competitive USD-based compensation
A selection of exciting projects
Flextime

Resumo da oferta

AgileEngine, an Inc. 5000 company, seeks a part-time Data Engineering and Infrastructure Lead to audit AWS architecture, CI/CD processes, and ETL decisions from Salvador, Bahia. You will weigh managed tooling against custom builds, review SageMaker-based MLOps pipelines, and mentor the team on engineering standards.

Evaluate AI-assisted workflows (Claude Code), advise on ETL/ingestion architecture, and report findings to leadership with recommended actions.

Qualificações

  • 6+ years of hands-on AWS experience (ECS/Fargate, RDS, S3, SageMaker, etc.)
  • Fluency with Terraform and IaC.
  • Proven track record auditing CI/CD pipelines and SDLC governance.
  • Strong data engineering depth for ETL/ingestion architecture.
  • Experience evaluating AI-assisted development workflows like Claude Code.
  • Comfortable in a part-time advisory role (50% to 25%), with mentoring.

Responsabilidades

  • Audit the current AWS architecture across live apps (ECS/ECR, RDS, S3, VPC, CloudFront) and SageMaker-based MLOps pipelines.
  • Review the CI/CD process and SDLC governance; recommend environment separation and release gating.
  • Evaluate Claude Code usage for output quality and cost management.
  • Provide early technical opinion on ETL/data-ingestion architecture (managed ELT vs custom builds).
  • Mentor and accelerate the day-to-day infrastructure team; focus on AWS, DevOps, CI/CD, and data practices.
  • Set out recommendations and technical direction when changes are needed; report to leadership.

Conhecimentos

AWS expertise
Terraform
CI/CD pipelines
Data engineering depth
AI-assisted workflows
Part-time advisory

Ferramentas

SageMaker
Claude Code

Descrição da oferta de emprego

Data Engineering & Infrastructure Lead ID88014

Posted On 09/09/2026



Job Information

City Salvador


State/Province Bahia


40000-000


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.

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