devops cloud engineer lead

About Northwind Robotics Northwind Robotics 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 Northwind Robotics 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. Job Responsibilities At Northwind Robotics, you won’t just manage infrastructure—you’ll architect and scale the systems behind a $1B+ global e-commerce platform , processing billions of data points and powering high-growth consumer brands. We’re looking for a DevOps (Cloud Engineer) Lead to own our cloud infrastructure, data platforms, and DevOps/DataOps strategy end-to-end. Architect and scale AWS infrastructure (S3, Redshift, Glue, EMR, Lambda, ECS) Lead Infrastructure as Code using Terraform/Terragrunt Build and optimize CI/CD pipelines for high-velocity deployments Design and evolve ETL pipelines and data platform architecture Drive containerization and orchestration (Docker, Kubernetes) Establish observability: monitoring, logging, alerting Ensure security, compliance, and cost-efficient cloud operations Lead incident management and improve system reliability Define DevOps/DataOps standards across teams Mentor engineers and elevate technical excellence 7+ years of experience in DevOps / Cloud Engineering, with at least 2+ years in a Lead or Senior role Proven track record designing and scaling AWS infrastructure in high-traffic, production environments Strong expertise in Infrastructure as Code (Terraform/Terragrunt) in complex, multi-environment setups Deep experience building and optimizing CI/CD pipelines for fast, reliable deployments Hands-on experience with data architecture and ETL pipelines at scale Advanced scripting skills ( Python, Bash, or similar ) Solid experience with Docker and Kubernetes in production environments Strong understanding of distributed systems, scalability, and reliability engineering principles Experience leading architecture decisions, incident management, and system reliability improvements Proven ability to mentor engineers and raise the bar of DevOps/DataOps practices across teams Nice to have: Experience with modern data stack ( dbt, Airflow, Snowflake ) Familiarity with observability tools (Datadog, Prometheus, Grafana) Experience with FinOps and cloud cost optimization strategies Exposure to AI/ML infrastructure or AI-assisted development tools