Full Stack Engineer, Contract

Overview of 66degrees 66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential. At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. About the Role We are seeking a highly skilled Full Stack Engineer for a high-velocity, 12-week 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 Title: Full Stack Engineer (Contract) Duration: 12 Weeks Allocation: 40 Hours per Week (Full-Time) Start Date: October 5th (Early October) Responsibilities • 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: Containerise and deploy frontend and backend services utilising 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. Qualifications: To be successful in this 12-week sprint, 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 Cand