Full Stack Engineer

Lifted Solutions Inc.; Greater London; Remote; GBP 90,000 - 120,000; Full time

Job summary

Lifted Solutions Inc. is seeking a highly skilled Full Stack Engineer for a high-velocity contract.

You will bridge a modern React/TypeScript frontend with a Python/FastAPI backend, hosting on Google Cloud Platform and integrating Vertex AI Gemini models for intelligent data extraction and risk assessment. You will own end-to-end development, containerize services for Cloud Run, design data pipelines, and implement enterprise-grade SSO via IAP and Entra ID, with CI/CD pipelines in Azure DevOps

Qualifications

• Frontend development with React and TypeScript.
• Backend development with Python and FastAPI.
• Experience with Google Cloud serverless services (Cloud Run, Cloud Run Jobs).
• Experience with Firestore and BigQuery for real-time state management and analytics.
• Practical integration of Vertex AI Gemini models / GenAI into production apps.
• Knowledge of enterprise SSO (IAP) and identity providers (Entra ID, Azure AD).
• CI/CD pipelines with Azure DevOps targeting Google Cloud.

Responsibilities

• Frontend Development: Build responsive UI with React/TypeScript.
• Backend & API Development: Design scalable Python/ FastAPI services.
• Cloud-Native Deployment: Containerize and deploy on GCP Cloud Run.
• Data Pipelines: Create async data processing with Cloud Run Jobs.
• AI/ML Integration: Connect to Vertex AI Gemini for data extraction & risk assessment.
• Database Management: Use Firestore and BigQuery for state & analytics.
• Security & Authentication: Implement SSO via IAP and Entra ID.
• DevOps & CI/CD: Manage pipelines with Azure DevOps for GCP.

Tools

React

TypeScript

Python

FastAPI

Google Cloud Run

Firestore

BigQuery

Vertex AI Gemini

Identity-Aware Proxy (IAP)

Entra ID

Azure DevOps

Job description

Company Description

An enterprise client is seeking a highly skilled Full Stack Engineer for a high-velocity contract engagement. In this role, you will be responsible for building and deploying a modern, AI-integrated application hosted entirely on Google Cloud Platform (GCP). You will own the end-to-end development cycle, bridging a responsive React/TypeScript frontend with a high-performance Python/FastAPI backend. A core component of this project involves integrating Google's Vertex AI (Gemini models) to drive intelligent data extraction and risk assessment features.

Job Description

• Frontend Development: Design and build robust, highly responsive user interfaces using React and TypeScript.
• Backend & API Development: Architect and develop scalable backend services and RESTful APIs using Python and the FastAPI framework.
• Cloud-Native Deployment: Containerize and deploy frontend and backend services utilizing serverless GCP Cloud Run.
• Data Pipelining: Design, deploy, and manage asynchronous data processing pipelines using Cloud Run Jobs.
• AI/ML Integration: Connect the application to Google's foundation models (Gemini) via Vertex AI to execute complex data extraction and automated risk assessments.
• Database Management: Utilize Firestore for real-time application state management and metadata storage, while integrating BigQuery for heavy data warehousing and analytics workloads.
• Security & Authentication: Implement enterprise-grade Single Sign-On (SSO) by configuring Google's Identity-Aware Proxy (IAP) and integrating it with Microsoft Entra ID.
• DevOps & CI/CD: Maintain and optimise deployment workflows using Azure DevOps to ensure seamless CI/CD pipelines into the GCP environment.

Qualifications

To be successful in this project, candidates must be able to hit the ground running with the following technologies:

• Frontend: Deep proficiency in React and TypeScript.
• Backend: Strong Python programming skills with hands-on FastAPI experience.
• GCP Ecosystem: Proven experience with Google Cloud serverless architecture, specifically Cloud Run and Cloud Run Jobs.
• Databases: Experience structuring document databases (Firestore) and querying analytical data warehouses (BigQuery).
• AI/LLMs: Practical experience integrating LLMs or GenAI APIs into production applications (Vertex AI / Gemini preferred).
• Identity & Access: Familiarity with enterprise SSO, Microsoft Entra ID (formerly Azure AD), and GCP Identity-Aware Proxy (IAP).
• DevOps: Experience configuring and troubleshooting CI/CD pipelines in Azure DevOps targeting Google Cloud.

Ideal Candidate Profile

• Self-Starter: You thrive in fast-paced contract environments and can rapidly familiarize yourself with an existing architecture.
• Full-Stack Mindset: You are equally comfortable debugging a React state issue as you are optimising a Python API or writing a BigQuery SQL statement.
• Quality Focused: You write clean, well-documented, and maintainable code with a strong understanding of cloud security best practices.

Additional Information

• Only applicants located in UK may apply.
• Fully remote opportunity.