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Sr Backend Developer (Python / Data Engineering / GCP)

Nir Yu

Responsibilities

  • Backend & APIs: Build and maintain Python backend services, APIs, and asynchronous workflows in production.
  • Design and optimize ETL pipelines, scheduled jobs, and complex BigQuery queries on large historical and real estate datasets (30,000+ ZIP codes).
  • Manage Google Cloud Platform services (Compute Engine, BigQuery, Cloud Storage, Pub/Sub, monitoring, and load balancing).
  • Precompute, package, compress, and cache data to serve high-traffic applications efficiently.
  • Make frontend adjustments (React, Next.js, TypeScript) using AI assistants to connect backend APIs to the UI without needing a dedicated frontend developer.
  • Monitor features in production to evaluate user adoption and performance using product analytics (PostHog).

Requirements

  • Python & APIs: Strong professional experience developing production backend systems and APIs in Python.
  • Deep expertise with BigQuery and advanced SQL working with large datasets (historical/geographic data).

Preferred

  • Experience with product analytics tools (PostHog, Mixpanel).
  • Work with geographic (GIS) or time-series data.
  • Caching and data packaging strategies for high-traffic applications.

The Role

This is not a pure backend role, nor is it a "ticket-closing" position. It is a hands-on role focused primarily on Backend + Data Engineering (80%), where the engineer owns features end-to-end: from data ingestion, ETL processing, BigQuery, and APIs, all the way to shipping on the frontend (React/Next.js/TypeScript) using AI tools (Claude, Cursor, GitHub Copilot).

Production GCP

Direct experience managing GCP infrastructure (Compute Engine, Cloud Storage, Pub/Sub).

ETL & Async Processing

Experience building ETL pipelines, background jobs, queues, and asynchronous workflows.

Functional Frontend Skills

Enough React / Next.js / TypeScript knowledge to productively work inside an existing frontend codebase.

AI-Native Development

Daily hands-on use of AI coding tools (Claude, Cursor, Copilot) for refactoring, writing tests, and building frontend components.

Communication & Availability

Fluent English for daily 1:1 calls with the CEO and full availability during Central Time hours.