IVF SaaS Infrastructure Build

The IVF management platform I have today is a working prototype with its clinical logic and AI decision-support modules already in place. What it lacks is the rock-solid, scalable infrastructure that will let several clinics onboard seamlessly and run day-to-day operations without hiccups.

Here is the environment I have in mind:

• A hybrid setup: clinics may keep certain workloads or sensitive datasets on-site while the elastic layer lives in the cloud.
• Google Cloud will power the cloud side of that hybrid model, so please be fully comfortable with GKE, Cloud SQL / AlloyDB, Pub/Sub, IAM, and related services.
• Core production features we must enable from day one are multi-tenant user management, real-time and historical data analytics dashboards, and well-documented REST / GraphQL APIs for partner integrations.

Beyond wiring up the runtime itself, I will look to you for CI/CD pipelines (GitHub Actions or similar), automated testing hooks, robust backup / DR strategies, monitoring (Stackdriver, Prometheus, or a comparable stack), and security hardening that meets common healthcare compliance expectations (HIPAA awareness is a plus).

Acceptance criteria
1. Clinics can self-provision tenants and users through an admin portal.
2. Data isolation is provably enforced between tenants, both at rest and in transit.
3. Deployment to the hybrid environment is reproducible via Infrastructure-as-Code (Terraform preferred).
4. The API gateway exposes documented endpoints with token-based auth and passes integration tests.
5. Dashboards surface key KPIs (cycle success rates, lab metrics, etc.) with under-two-second query times on representative datasets.

If this aligns with your expertise, let’s discuss timelines and a phased rollout plan.