About the job
About Trafilea
Trafilea is an innovative Consumer Tech Platform dedicated to driving transformative brand growth. We are developing an AI Growth Engine designed to propel the next generation of consumer brands forward.
With over $1 billion in cumulative revenue, more than 12 million customers, and a talented workforce of over 500 professionals across 19 countries, we integrate technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.
As owners and operators of our own digitally native brands (not an agency), we have a strong presence in retailers like Walmart, Nordstrom, and Amazon, along with a significant global direct-to-consumer footprint.
Why Join Trafilea?
We are a tech-driven eCommerce group focused on scaling our own globally recognized DTC brands, while also fostering the growth of ambitious talent.
We build and scale our own brands.
We invest in AI and automation with a commitment unrivaled in eCommerce.
We embrace rapid testing and growth, enabling you to do the same.
Become part of a dynamic, diverse, and talented global team.
Enjoy a 100% remote work environment, competitive USD salary, paid time off, and more.
Key Responsibilities
We are looking for a Data Cloud Engineer (DevOps + DataOps) who will be responsible for designing, building, and maintaining our AWS-based cloud infrastructure and data pipelines. You will ensure scalability, security, and efficiency across our mission-critical systems while promoting automation and modern DevOps practices. This is a hands-on role that allows you to lead infrastructure projects from inception to completion, mentor colleagues, and implement best practices that facilitate data-driven decision-making on a global scale.
Cloud Infrastructure (AWS): Design, deploy, and optimize AWS environments (S3, RDS, Redshift, DynamoDB, Glue, EMR, Lambda, ECS, etc.).
Data Pipelines: Construct and oversee robust ETL workflows and scalable data architectures.
Automation & DevOps: Apply Infrastructure as Code (Terraform/Terragrunt) and integrate CI/CD pipelines.
Containerization: Deploy applications using Docker and Kubernetes.
Security & Compliance: Implement cloud security best practices across all environments.
Collaboration: Collaborate with BI, data, and development teams to ensure smooth deployments.
Troubleshooting: Quickly diagnose and resolve cloud and data-related issues.
Knowledge Sharing: Contribute to team learning initiatives and mentor junior engineers.
