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About the Role
Build and deploy a modern, AI-integrated application hosted on Google Cloud Platform (GCP), bridging a responsive React/TypeScript frontend with a high-performance Python/FastAPI backend. Integrate Google's Vertex AI (Gemini models) for intelligent data extraction and risk assessment.
Responsibilities
- Design and build robust, highly responsive user interfaces using React and TypeScript.
- Architect and develop scalable backend services and RESTful APIs using Python and the FastAPI framework.
- Containerize and deploy frontend and backend services utilizing serverless GCP Cloud Run.
- Design, deploy, and manage asynchronous data processing pipelines using Cloud Run Jobs.
- Connect the application to Google's foundation models (Gemini) via Vertex AI to execute complex data extraction and automated risk assessments.
- Utilize Firestore for real-time application state management and metadata storage.
- Integrate BigQuery for heavy data warehousing and analytics workloads.
- Implement enterprise-grade Single Sign-On (SSO) by configuring Google's Identity-Aware Proxy (IAP) and integrating it with Microsoft Entra ID.
- Maintain and optimize deployment workflows using Azure DevOps to ensure seamless CI/CD pipelines into the GCP environment.
Requirements
- Deep proficiency in React and TypeScript.
- Strong Python programming skills with hands-on FastAPI experience.
- Proven experience with Google Cloud serverless architecture, specifically Cloud Run and Cloud Run Jobs.
- Experience structuring document databases (Firestore) and querying analytical data warehouses (BigQuery).
- Practical experience integrating LLMs or GenAI APIs into production applications (Vertex AI / Gemini preferred).
- Familiarity with enterprise SSO, Microsoft Entra ID (formerly Azure AD), and GCP Identity-Aware Proxy (IAP).
- Experience configuring and troubleshooting CI/CD pipelines in Azure DevOps targeting Google Cloud.
- Ability to thrive in fast-paced contract environments and rapidly familiarize yourself with an existing architecture.
- Comfortable debugging frontend issues, optimizing Python APIs, and writing BigQuery SQL statements.
- Commitment to writing clean, well-documented, and maintainable code with a strong understanding of cloud security best practices.
Skills
- React
- TypeScript
- Python
- FastAPI
- GCP
- Cloud Run
- Cloud Run Jobs
- Firestore
- BigQuery
- Vertex AI
- Gemini
- LLMs
- GenAI
- SSO
- Microsoft Entra ID
- Azure AD
- GCP Identity-Aware Proxy (IAP)
- Azure DevOps
- CI/CD
Location
- UK
Work Type
- Remote
- Contract
Experience Level
- Full Stack Engineer
About the Company
- An enterprise client is seeking a highly skilled Full Stack Engineer for a high-velocity contract engagement.