Cloud Engineer (DevOps)

About Cobalt Streamworks Cobalt Streamworks 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 Cobalt Streamworks 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. Requirements 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. Originally posted on Himalayas