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 optimize deployment workflows using Azure DevOps to ensure seamless CI/CD pipelines into the GCP environment.
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 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.
Skills Required
- Deep proficiency in React and TypeScript
- Strong Python programming skills and hands-on FastAPI experience
- Experience with Google Cloud serverless architecture, specifically Cloud Run and Cloud Run Jobs
- Experience structuring Firestore document databases
- Experience querying BigQuery analytical data warehouses
- Practical experience integrating LLMs or GenAI APIs into production applications
- Experience with Vertex AI or Gemini
- Familiarity with enterprise SSO, Microsoft Entra ID, and Google Cloud Identity-Aware Proxy
- Experience configuring and troubleshooting Azure DevOps CI/CD pipelines targeting Google Cloud
- Understanding of cloud security best practices
- Located in the UK
What We Do
Lifted, an Upwork Company, is a B2B SaaS platform that helps enterprise organizations source, contract, manage, and pay contingent talent globally and compliantly. It supports multiple engagement models, including independent contractors, staff augmentation, and employer-of-record, while integrating with MSPs and VMSs to provide centralized visibility, spend control, and audit-ready compliance, delivering a white-labeled talent experience for hiring managers and contingent workforce programs.
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