Build and maintain complex backend APIs and system integrations using Python and TypeScript. The role requires 10+ years of backend engineering experience and collaboration with a U.S.-based team for at least 2–4 overlapping hours. Dental practice management system or healthcare integration experience is strongly preferred. Experience with GraphQL, Hasura, PostgreSQL, GCP, or AWS is valuable.

Design, build, and operate enterprise-grade platform services across hybrid and on-prem environments. Implement IaC with Terraform, GitOps deployments (ArgoCD, GitHub Actions), manage production Kubernetes clusters, large-scale data platforms (Hadoop/EMR), distributed storage (MinIO/S3), caching (Redis/Memcached), and observability (OpenTelemetry, Prometheus, Grafana, Loki). Automate CI/CD, troubleshoot production issues, ensure scalability and reliability, and collaborate with cross-functional teams.

Lead architecture and delivery of scalable AI/ML and computer vision platforms for Manufacturing and Automotive customers. Own end-to-end solution design across cloud, edge, and embedded systems, mentor senior teams, drive ADAS and industrial AI initiatives, support pre-sales, and ensure technical governance and delivery excellence.