Teams at Wizdaa

Own the architecture, deployment, reliability, and cost optimization of production AI/ML infrastructure on GCP. Build model serving systems, reproducible ML pipelines, GitOps workflows, and multi-tenant Kubernetes platforms. Manage LLM and agentic workloads, Terraform infrastructure, observability, SLOs, drift monitoring, accelerator capacity, and inference costs. Define operational standards, improve automation, and guide platform evolution for scalable enterprise-grade ML systems.

Own the integrations roadmap, public APIs, developer experience, data contracts, canonical models, authentication, authorization, and integration platform. Build reusable connectors, mapping tools, monitoring, reconciliation, and self-service configuration. Partner with customers and engineering teams, review APIs and data models, debug production sync issues, and improve deployment time and integration reliability for enterprise systems.

Lead backend architect responsible for designing and owning scalable NestJS/TypeScript services, building GraphQL APIs in a microservices environment, optimizing Postgres databases, defining technical direction, enforcing code quality (including AI-generated code), and translating ambiguous product needs into production-ready solutions while operating in an AI-first workflow.