GCP-Oriented Full-Stack Developer
Savannah by Commit · Israel
- Hybrid
- Full-time
- $120,000 / year
- Israel
Job highlights
- Build a content intelligence platform using AI.
- Process data from diverse sources.
- Utilize Gemini models for insights.
- Work with Python, React, and GCP.
- Scale products at AI/cloud intersection.
About the role
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, SQL, 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
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.
Key skills/competency
- GCP Full-Stack Developer
- Python
- FastAPI
- React
- PostgreSQL
- Elasticsearch
- Redis
- Google Cloud Platform (GCP)
- GKE
- LLM Integrations
Skills & topics
- GCP Full-Stack Developer
- Python
- FastAPI
- React
- PostgreSQL
- Elasticsearch
- Redis
- Google Cloud Platform
- GKE
- LLM
- Remote
- Full-Time
- AI
- Cloud Infrastructure
- Web Development
How to get hired
- Tailor your resume: Highlight Python, FastAPI, React, and GCP experience.
- Showcase AI/LLM skills: Emphasize experience with RAG, embeddings, or Gemini.
- Demonstrate cloud proficiency: Detail your work with GKE, Pub/Sub, and GCS.
- Prepare for technical interviews: Review async programming, SQL, and frontend concepts.
- Express enthusiasm for AI: Show passion for building AI-powered products.
Technical preparation
Practice Python, FastAPI, and async programming.,Build a small React application with hooks.,Set up a PostgreSQL database.,Deploy a service on GKE.
Behavioral questions
Describe a complex technical challenge overcome.,How do you handle fast-paced environments?,Share an experience building with AI/LLMs.,How do you collaborate on remote teams?
Frequently asked questions
- What are the key technologies for the GCP Full-Stack Developer role at Savannah by Commit?
- The key technologies for this role include Python, FastAPI, React, PostgreSQL, Elasticsearch, Redis, and extensive experience with Google Cloud Platform (GCP) services like GKE, Pub/Sub, and GCS. Familiarity with Terraform, Helm, and AI/LLM concepts such as RAG or Gemini integrations is also highly valued.
- Is this a remote position for the GCP Full-Stack Developer job?
- Yes, the GCP Full-Stack Developer position at Savannah by Commit is a fully remote role, allowing you to work from any location.
- What kind of projects will a GCP Full-Stack Developer work on at Savannah by Commit?
- You will be working on a next-generation content intelligence platform that processes data from various sources. This involves transforming data into actionable insights delivered through search, dashboards, visualizations, and AI-powered chatbots, utilizing Gemini models and Google Cloud infrastructure.
- What is the expected experience level for the GCP Full-Stack Developer role?
- The role requires at least 3 years of professional experience in backend development with Python and FastAPI, and 2+ years of React experience for frontend. Strong SQL skills and hands-on experience with GCP are also essential. Exposure to LLM workflows is a significant plus.
- How important is AI/LLM experience for this GCP Full-Stack Developer position?
- Experience with AI/LLM workflows, embeddings, RAG, or Gemini integrations is considered highly valuable and a strong plus for this role. It's a key area of focus for the platform being built.
- Does Savannah by Commit offer opportunities for professional growth in cloud and AI?
- Absolutely. By working on a rapidly scaling platform that leverages advanced AI models and Google Cloud infrastructure, you'll gain significant hands-on experience and opportunities for professional growth in these cutting-edge fields.
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