Cloud Engineer (DevOps)

Trafilea; Argentina; A distancia; ARS 9.750.000 - 12.500.000; Jornada completa

Descripción de la vacante

A forward-thinking e-commerce company is seeking a Data Cloud Engineer to design and maintain AWS-based cloud infrastructure and data pipelines. This role includes ensuring scalability and security, driving automation, and mentoring peers. Ideal candidates will have strong AWS experience and proficiency in data architecture and ETL tools. The role is fully remote with a competitive USD salary, paid time off, and opportunities for professional growth.

Servicios

100% Remote

USD competitive salary

Paid time off

Formación

• Strong experience with AWS services (S3, Redshift, Glue, EMR, Lambda, etc.).
• Proficiency in data architecture and ETL tools.
• Hands-on expertise in Terraform/Terragrunt and CI/CD pipelines.
• Familiarity with Docker/Kubernetes for containerized deployment.
• Skilled in Python, Bash, or similar scripting languages.
• Problem-solver with strong analytical and troubleshooting ability.
• Excellent communicator and team collaborator.
• Proactive, ownership-driven, and eager to continuously learn.

Responsabilidades

• Design, deploy, and optimize AWS environments (S3, RDS, Redshift, etc.).
• Build and manage robust ETL workflows and scalable data architectures.
• Implement Infrastructure as Code and integrate CI/CD pipelines.
• Deploy applications with Docker and Kubernetes.
• Apply cloud security best practices across all environments.
• Partner with BI, data, and development teams for seamless deployments.
• Diagnose and resolve cloud and data-related issues with agility.
• Contribute to team learning and mentor junior engineers.

Conocimientos

AWS services

Data architecture

Terraform/Terragrunt

CI/CD pipelines

Docker

Kubernetes

Python

Bash

Problem-solving

Analytical skills

Descripción del empleo

About Trafilea

At Trafilea, we are not just building brands — we’re building the future of e-commerce through technology, AI, and growth marketing at scale. With $1B+ in revenue, 12M+ customers, and 500+ talents in 19 countries, our teams move fast, think bigger, and reject mediocrity. Ranked by Forbes as one of the Top 25 Remote Companies, we empower global talent to deliver real impact from anywhere.

The Role

We are seeking a Data Cloud Engineer (DevOps + DataOps) to design, build, and maintain our AWS-based cloud infrastructure and data pipelines. You’ll ensure scalability, security, and efficiency across mission-critical systems while driving automation and modern DevOps practices. This is a hands-on role with the opportunity to own infrastructure projects end-to-end, mentor peers, and introduce best practices that power data-driven decision-making at global scale.

Key responsibilities

• Cloud Infrastructure (AWS): Design, deploy, and optimize AWS environments (S3, RDS, Redshift, DynamoDB, Glue, EMR, Lambda, ECS, etc.).

• Data Pipelines: Build and manage robust ETL workflows and scalable data architectures.

• Automation & DevOps: Implement Infrastructure as Code (Terraform/Terragrunt) and integrate CI/CD pipelines.

• Containerization: Deploy applications with Docker and Kubernetes.

• Security & Compliance: Apply cloud security best practices across all environments.

• Collaboration: Partner with BI, data, and development teams for seamless deployments.

• Troubleshooting: Diagnose and resolve cloud and data-related issues with agility.

• Knowledge Sharing: Contribute to team learning and mentor junior engineers.

Why Trafilea

We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast. We build and scale our own brands. We invest in AI and automation like few others in eCom. We test fast, grow fast, and help you do the same. Be part of a dynamic, diverse, and talented global team. 100% Remote, USD competitive salary, paid time off, and more.

Qualifications

1. Strong experience with AWS services (S3, Redshift, Glue, EMR, Lambda, etc.).

2. Proficiency in data architecture and ETL tools.

3. Hands-on expertise in Terraform/Terragrunt and CI/CD pipelines.

4. Familiarity with Docker/Kubernetes for containerized deployment.

5. Skilled in Python, Bash, or similar scripting languages.

6. Problem-solver with strong analytical and troubleshooting ability.

7. Excellent communicator and team collaborator.

8. Proactive, ownership-driven, and eager to continuously learn.