Cloud-Native Backend & MLOps for Real Estate in United States
High-performance backends and the MLOps to deploy, monitor, and retrain models in production — for SaaS, AI products, and real-time data platforms. For real estate teams, delivered to United States.
Real Estate teams in United States need cloud-native backend & mlops engineered for their constraints and shipped on their calendar. High-performance backends and the MLOps to deploy, monitor, and retrain models in production — for SaaS, AI products, and real-time data platforms. Aligned to ET / CT / PT working hours.
Leads arrive across channels and go cold. Listings and CRM data drift apart. Coordinating buyers, sellers, and documents is a manual scramble.
- 01Architect services and the ML lifecycle around real load and SLAs.
- 02Prototype deployment and monitoring before scaling.
- 03Forge microservices, pipelines, and IaC.
- 04Harden with A/B deployment, drift monitoring, and retraining.
- 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
What you can expect
Questions, answered straight
Yes. Listing platforms, CRM tools, and property management apps that capture every lead and automate the busywork between offer and close. Aligned to ET / CT / PT working hours.