Cloud-Native Backend & MLOps for E-commerce
High-performance backends and the MLOps to deploy, monitor, and retrain models in production — for SaaS, AI products, and real-time data platforms. Engineered for e-commerce teams.
E-commerce teams don't need a generic vendor — they need cloud-native backend & mlops built around how they actually operate. High-performance backends and the MLOps to deploy, monitor, and retrain models in production — for SaaS, AI products, and real-time data platforms. Custom storefronts, inventory systems, and checkout optimization that lift conversion and remove operational drag.
Your backend can't keep up, or your models work in a notebook but never make it to production reliably. There's no path from experiment to deployed and monitored. For e-commerce teams specifically, your storefront is generic, inventory and orders live in separate systems, and support tickets pile up. Every point of friction costs conversion.
- 01Blueprint how e-commerce teams actually use cloud-native backend & mlops today, and lock scope, price, and the metric before code.
- 02Prototype the highest-value cloud-native backend & mlops loop against real e-commerce data — not a generic demo.
- 03Forge a production-grade build on Go, Rust, Kubernetes, with CI/CD and observability from day one.
- 04Harden and hand off documented, ready for e-commerce teams to extend.
- Microservices (Go, Rust, Node.js, .NET)
- Serverless & container orchestration (K8s, Nomad)
- CI/CD (GitHub Actions, GitLab CI, ArgoCD)
- MLOps: deployment, A/B, monitoring, drift
- Data engineering (feature stores, ETL)
- Infrastructure as Code (Terraform, Pulumi)
- Real-time event streaming
- Event-driven architecture
- Custom storefronts & headless commerce
- Inventory & order management
- Checkout & conversion optimization
- WhatsApp & chat support automation
- RAG-powered product support
- Analytics & merchandising dashboards
What you can expect
Questions, answered straight
Custom storefronts, inventory systems, and checkout optimization that lift conversion and remove operational drag. We bring cloud-native backend & mlops depth to those exact systems rather than retrofitting a template.