Full Stack Engineer

Lifted, an Upwork Company™; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Lifted is seeking a highly skilled Full Stack Engineer for a fast-paced contract engagement. You will build and deploy an AI-integrated application on Google Cloud, bridging a React/TypeScript frontend with a Python/FastAPI backend.

Key tasks include containerizing services with Cloud Run, implementing Vertex AI Gemini models for data extraction and risk assessment, and leveraging Firestore and BigQuery for state management and analytics. Remote UK-friendly, contract-based role.

Qualifications

• Frontend: deep proficiency in React and TypeScript.
• Backend: strong Python programming skills with FastAPI experience.
• GCP ecosystem: serverless Cloud Run and Cloud Run Jobs experience.
• Databases: Firestore for real-time state and BigQuery for analytics.
• AI/LLMs: Vertex AI / Gemini integration into production apps.
• Identity: enterprise SSO with IAP and Entra ID.
• DevOps: CI/CD pipelines with Azure DevOps for Google Cloud.

Responsibilities

• Frontend Development: design and build robust, responsive UIs with React/TypeScript.
• Backend & API Development: architect and develop scalable Python/FastAPI services and RESTful APIs.
• Cloud-Native Deployment: containerize and deploy with Cloud Run.
• Data Pipelines: design and manage asynchronous pipelines with Cloud Run Jobs.
• AI/ML Integration: connect app to Gemini models via Vertex AI for data extraction and risk assessments.
• Database Management: use Firestore and BigQuery for storage and analytics.
• Security & Authentication: implement SSO with IAP and Entra ID.
• DevOps & CI/CD: maintain CI/CD workflows for Google Cloud via Azure DevOps.

Skills

React

TypeScript

Python

FastAPI

GCP

Firestore

BigQuery

Vertex AI

SSO

Azure DevOps

CI/CD

Full-stack

Tools

Cloud Run

Cloud Run Jobs

Firestore

BigQuery

IAP

Entra ID

Azure DevOps

Job description

Описание

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.

Задачи

• 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 optimize deployment workflows using Azure DevOps to ensure seamless CI/CD pipelines into the GCP environment.

Требования

• 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.


• 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 optimizing 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.

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