Cloud Engineer (DevOps)

About Trafilea

Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands.

With over $1B+ in cumulative revenue 12M+ customers and 500+ talents across 19 countries we combine technology growth marketing and operational excellence to scale purpose-driven digitally native brands.

We own and operate our own digitally native brands (not an agency) with presence in Walmart Nordstrom and Amazon and a strong global D2C footprint.

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.

Key Responsibilities

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.

• 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.

• 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.