GCP-Oriented Full-Stack Developer

🚀 We Are Hiring!! GCP-Oriented Full-Stack Developer

Location: Remote

Employment Type: Full-Time

About Us

We’re looking for a GCP-Oriented Full-Stack Developer to join our team building a next-generation content intelligence platform that processes data from multiple sources such as news feeds, RSS streams, Telegram channels, APIs, and PDFs.

Using Gemini models, this data is transformed into actionable insights delivered through search platforms, dashboards, geospatial visualizations, and AI-powered chatbot experiences.

The platform is already live on Google Cloud and scaling rapidly—so we’re looking for someone who thrives in fast-paced environments and enjoys building across backend, frontend, cloud infrastructure, and AI workflows.

What You’ll Need:

✔ Strong experience with Python and FastAPI

✔ Frontend experience with React

✔ Experience with PostgreSQL, Elasticsearch, and Redis

✔ Hands-on experience with Google Cloud (GKE, Pub/Sub, GCS)

✔ Familiarity with Terraform and Helm

✔ Exposure to LLM workflows, embeddings, RAG, or Gemini integrations is a strong plus

Nice to Have:

• Experience with Keycloak
• Geospatial applications
• PDF ingestion/parsing workflows
• Real-time data systems

TECHNICAL REQUIREMENTS

Backend

3+ years of professional experience with:

• Python
• FastAPI
• Async programming

Strong understanding of:

• asyncpg
• SQLAlchemy
• Pydantic v2
• Experience building asynchronous/event-driven services.

Frontend

• 2+ years of React experience.

Strong understanding of:

• React hooks
• Server-state management libraries
• TanStack Query
• Zustand

Experience with:

• Tailwind CSS
• Shadcn/UI
• Modern frontend tooling (Vite preferred)

Databases & Search

• Strong SQL skills with PostgreSQL preferred.
• Experience working with:
• PostgreSQL
• pgvector
• Elasticsearch
• Redis

Cloud & Infrastructure

Hands-on experience with:

• Google Cloud Platform (GCP)
• GKE
• Pub/Sub
• GCS

Familiarity with:

• Terraform
• Helm
• Workload Identity

AI / LLM Experience

Experience with any of the following is highly valuable:

• Prompt engineering
• Embeddings
• Retrieval-Augmented Generation (RAG)
• LLM integrations
• Vector search workflows
• Gemini APIs or similar LLM platforms

Full JD:

https://docs.google.com/document/d/1tUSESVxy7GEN-bLxUCojDNicT3YlCiPaz60nnxiH0l0/edit?tab=t.0#heading=h.ud1twp7pyvh4

If you’re excited about building scalable products at the intersection of AI, cloud infrastructure, and modern web development, we’d love to hear from you.