Top Tech Jobs & Startup Jobs

Build and maintain scalable backend services (Python/FastAPI or Flask) and responsive React + TypeScript frontends. Surface, validate, and resolve data issues from ETL pipelines, data lakes, and ML outputs. Manage PostgreSQL schemas/migrations, containerize with Docker, use AI-assisted coding tools judiciously, and collaborate directly with client engineers via Slack and Google Meet.

Design and implement offline-first, multi-tier data synchronization for a global QSR POS. Build CRDT-based conflict resolution, event-sourced/CQRS/saga workflows, real-time pub/sub, and PostgreSQL cloud modeling with reconciliation across device, edge, and cloud.

Design and implement multi-tier offline-first synchronization for a global POS platform using CRDT-based frameworks (Automerge/Ditto), event sourcing, CQRS, saga patterns, real-time pub/sub/WebSockets, and PostgreSQL-backed reconciliation across device, edge, and cloud.

Design and implement offline-first, multi-tier data synchronization for a global QSR POS: build CRDT-based conflict resolution (Automerge/Ditto), apply event sourcing, CQRS and saga patterns, use real-time pub/sub/WebSockets, and model PostgreSQL cloud data with reconciliation to local and edge stores.

Design and implement offline-first multi-tier data synchronization for a global QSR POS. Implement CRDT-based conflict resolution (Automerge/Ditto), event sourcing, CQRS, and saga patterns; maintain real-time state via pub/sub or WebSockets; model and reconcile PostgreSQL cloud data with local and edge stores; ensure eventual consistency and idempotency across order and payment flows.

Own design and implementation of offline-first, multi-tier synchronization for a global POS platform. Implement CRDT-based conflict resolution (Automerge/Ditto), event sourcing/CQRS/saga patterns, real-time pub/sub or WebSockets, and model PostgreSQL cloud data while reconciling local and edge stores.

Design and implement multi-tier offline-first synchronization for a global POS platform. Build CRDT-based conflict resolution using Automerge/Ditto, apply event sourcing, CQRS, and saga patterns, maintain real-time state via pub/sub or WebSockets, and model/reconcile PostgreSQL cloud data with local and edge stores.

Design and implement offline-first, multi-tier synchronization across device, edge, and cloud for a QSR POS platform using CRDT-based frameworks (Automerge/Ditto). Build conflict-resolution, event sourcing, CQRS, and saga patterns for orders/payments, use real-time pub/sub/WebSockets, and model/reconcile PostgreSQL cloud data with local and edge stores.

Lead design and implementation of offline-first, multi-tier data synchronization for a global QSR POS. Implement CRDT-based conflict resolution (Automerge/Ditto), event sourcing, CQRS, and saga patterns; use real-time pub/sub/WebSockets; model cloud PostgreSQL and reconciliation between device, edge, and cloud stores.

Own offline-first synchronization for a global QSR POS: design multi-tier sync across device, restaurant edge, and cloud. Implement CRDT-based conflict resolution (Automerge/Ditto), event sourcing, CQRS, and saga patterns for order/payment flows. Use real-time pub/sub or WebSockets, and model PostgreSQL cloud data layer with reconciliation against local and edge stores.