Cloud Engineer (DevOps) at Trafilea

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Cloud Engineer (DevOps) at Trafilea. Location Information: . 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.