Backend & Database Architect - Python, FastAPI, CloudSQL for Postgres and GCP

@AwaisChaudhry

Hello, I understand you need a robust backend and database architecture in Python with FastAPI, running on GCP Cloud SQL for Postgres, designed for multi-tenant use with strong data isolation, RBAC, audit trails, and secure integration with frontend and AI components. I will implement tenant_id at the database layer with Row-Level Security and ensure every API path is scoped to the correct tenant. The API layer will expose RESTful endpoints for both frontend and the AI agent, with proper authentication, authorization, and role checks, plus a clear Action Confirmation flow for risky changes. Cloud Run deployment, Dockerized services, and a solid CI/CD pipeline will be set up, with automated migrations, performance tuning (indexes), and health scoring for uptime and DB health. Encryption at rest with CMEK, GCS storage handling, and a comprehensive audit log, including impersonation and master trails, will be included. The architecture will support streaming responses to the AI using SSE or WebSockets, and a global load balancer with WAF protection. The plan is practical, scalable, and easy to audit. 1) What is the production milestone for tenant onboarding and how many tenants are expected at launch? 2) Do you already have an Identity Provider preference beyond Google Identity, and are there any specific SSO requirements? 3) Which data retention and audit policies must be enforced beyond the Master Audit Trail? 4) Are there any existing schemas or data models to adapt for tena

@neerajdhameliya

Hello, Securing a multi-tenant environment requires more than a WHERE clause; it demands architecture with data isolation baked into the database. I bring 8+ years of building high-stakes Python backends and can implement PostgreSQL Row Level Security (RLS) and GCP Cloud Run to make your platform compliant and hyper-scalable. The Strategy for Your Backend => I will implement PostgreSQL RLS policies that use the session_user or a custom configuration variable set via the FastAPI middleware. This ensures that even if a developer writes a "leaky" query, the database engine will physically block any data not belonging to the active tenant_id. => For the Gemini integration, I’ll build a robust Tool-calling interface. When the agent triggers a function, the backend will act as the "Source of Truth," validating RBAC permissions before executing any SQL, ensuring a "Viewer" can never inadvertently trigger a state-change through the AI. => I’ll configure your GCP Global Load Balancer with Cloud Armor and set up CMEK for your Cloud Storage buckets. For the audit trail, I’ll implement a non-repudiation log that captures both human and AI-initiated actions, providing the transparency your enterprise customers demand. I’m available to start immediately and can ensure your migration from localStorage to a scoped SQL architecture is seamless. Best regards, Niral

@divumanocha

Hello, I have reviewed your requirements and understand that you need an experienced backend engineer to implement a multi-tenant FastAPI backend with full database isolation, AI agent integration, secure storage, audit logging, and GCP-based infrastructure. I have extensive experience building enterprise-grade, multi-tenant systems with PostgreSQL, Cloud SQL, and FastAPI, including: -- Implementing tenant_id isolation with Row-Level Security (RLS) in PostgreSQL to prevent data leakage -- Building robust RESTful endpoints consumed by the frontend and AI agent -- Managing Cloud SQL schema, migrations, indexing, and performance optimization -- Authentication integration with Identity Providers and Role-Based Access Control (RBAC) -- Docker containerization and deployment via Cloud Run -- GCP Global Load Balancer with Cloud Armor for SQL injection and DDoS protection -- Backend support for SSE/WebSockets to stream AI responses to users -- Context passing and JWT validation to ensure tenant scoping per request -- Gateway endpoints for AI tool execution, securely returning raw data I am confident in delivering a secure, scalable, production-ready backend that seamlessly integrates with your frontend and AI agent while maintaining strict tenant isolation and compliance. I can also provide daily commits, PRs, and technical reporting to ensure transparency and measurable progress. Looking forward to collaborating on this advanced, multi-tenant platform. Thank you

@corpmember29

I HAVE BUILT MULTI-TENANT, SECURITY-FIRST PLATFORMS ON GCP WITH FASTAPI, POSTGRES RLS, AND AI INTEGRATIONS. I am a senior backend-focused full-stack developer with 10+ years of experience designing and delivering production-grade, multi-tenant systems. I can own the complete backend architecture you described, including tenant-isolated PostgreSQL schemas with Row-Level Security, FastAPI-based REST APIs, RBAC enforcement, audit logging, and secure AI tool execution. I have hands-on experience with FastAPI + Python, Cloud SQL (Postgres), schema migrations and indexing, Google Identity integration, JWT validation, impersonation engines with master audit trails, and encrypted document storage on GCS with CMEK. I can deploy and manage the infrastructure on GCP Cloud Run, configure global load balancing with Cloud Armor (WAF), and ensure stability, observability, and compliance. On the integration side, I will implement secure frontend-backend context passing, AI action confirmation flows, AI gateway endpoints, tool execution, and SSE/WebSocket streaming for real-time responses. The platform will be scalable, transparent, and resilient by design. I WILL PROVIDE 2 YEAR FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE, WE WILL WORK WITH AGILE METHODOLOGY AND WILL GIVE YOU ASSISTANCE FROM ZERO TO PUBLISHING ON STOIRES. I eagerly await your response. Thanks

@hireageek

Hi there, I’m a top freelancer from California with extensive experience in backend architecture and database management, and I’m excited about the opportunity to assist you with implementing a robust multi-tenant architecture. I understand the critical importance of ensuring tenant_id isolation in your Postgres database, as this will form the backbone of your application’s security and performance. Leveraging FastAPI, I will design RESTful APIs that seamlessly integrate with your frontend and AI solutions, ensuring efficient data flow and action confirmation workflows. Additionally, my expertise in managing Cloud SQL schemas, performance tuning, and implementing Row Level Security (RLS) will help minimize data leakage while optimizing your application. I’ll also handle the containerization and deployment on GCP, along with comprehensive audit logging for compliance purposes. I'd love to discuss this project further and explore how my solutions can align with your goals. What specific security measures do you have in mind for the integration of Identity Providers? Thanks,

@mubeenm5026

As a seasoned tech entrepreneur commanding over a decade in the industry, I understand the criticality of delivering projects with speed, functionality and scalability at their core — qualities particularly essential for your Backend & Database architecture overhaul. My team at Web Crest cleverly combines adeptness in Python-based technologies like FastAPI and PostgreSQL with honed CloudSQL skills to help you build intelligent solutions that are easy to manage and adaptable to future growth. We specialize in multi-tenant architectures, API design, database management, audit logging and more - all skills you need for this project. One standout feature of our approach is our efficiency in integrating different parts of a software system. This is particularly relevant for your Backend-Frontend and Backend-AI integrations. Our abilities span ensuring the frontend passes the right user context to the backend for filtering purposes as well as enabling seamless communication between the backend and AI Agent using Gemini session. From tool execution to streaming responses and action confirmation, we'll make sure every step runs smoothly without compromising on security aspects with features like Role-Based Access Control.

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Python, PostgreSQL, Google Cloud Storage, Docker, Google Cloud Platform, Database Management, API Development, Performance Tuning, Containerization, FastAPI and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@OutsourceMan

⭐⭐⭐⭐⭐ We at CnELIndia, led by Raman Ladhani, can successfully execute this project by leveraging our deep expertise across Python, FastAPI, PostgreSQL, and GCP. We will implement multi-tenant architecture with strict Row-Level Security, ensuring tenant_id isolation and encrypted storage using GCS with CMEK. Our team will design robust RESTful APIs with seamless backend-frontend and AI integration, including support for Server-Sent Events for streaming Gemini responses. We will manage database schema, migrations, indexing, and performance tuning while integrating authentication with Google Identity and enforcing RBAC. Containerization with Docker and deployment on Cloud Run, coupled with load balancing via GCP Global External HTTP(S) Load Balancer and Cloud Armor, ensures scalable and secure infrastructure. Comprehensive audit logging, impersonation tracking, and automated tenant health scoring complete the solution, guaranteeing compliance, transparency, and high availability.

@Feriver

Hello, I can architect a multi-tenant backend using FastAPI with Cloud SQL (Postgres) on GCP, implementing tenant_id isolation at the database level via RLS. All RESTful endpoints will enforce authentication, RBAC, and support AI tool execution with action confirmation. I will manage schema, migrations, indexing, and encrypted storage on GCS with CMEK. Containerization via Docker and deployment on Cloud Run with load balancing and Cloud Armor ensures security and scalability. Audit logging and impersonation support will provide full transparency, while SSE/WebSockets allow streaming AI responses. Deliverables include a robust, secure backend, fully scoped APIs, database performance tuning, and documentation for future maintenance. Questions: Are there predefined roles and permissions for RBAC, or should we design a flexible role schema? Should the tenant health score consider only DB connectivity and uptime, or include API response times and error rates?

@abhisaini0188

Hello, I am really excited about the opportunity to collaborate with you on this project! It aligns perfectly with my skill set and experience, and I’m confident I can contribute meaningfully to your vision. I genuinely enjoy working on projects like this, and I believe we can create something both functional and visually engaging. Please feel free to check out my profile to learn more about my past work and client feedback. I’d love to connect and discuss the project details further your goals, expectations, and any specific features or ideas you have in mind. The more I understand your vision, the better I can bring it to life. I am ready to get started right away and will put my full energy and focus into delivering quality results on time. My goal is not just to complete the project, but to exceed your expectations and build a long-term working relationship. Looking forward to hearing from you soon! With regards! Abhi

@letscms

Hello Sir, I have read your requirements carefully and I am confident that I can install & configuration & migrate database using postgresql. I am a full stack developer over 5+ years of experience in python ( Flask, FastAPI ). I can manage those process end to end securely. Regards & Thanks Jitendra Sharma

@Julian29

Hello, I have 10+ years of experience in Python backend development, FastAPI, and GCP cloud architecture, and I clearly understand your requirement for a multi-tenant, secure, and AI-integrated backend with PostgreSQL on Cloud SQL. Your goal is to implement a robust system where every request is tenant-scoped, actions are logged for compliance, AI tools can safely execute queries, and infrastructure is production-ready and secure. -->> Multi-tenant database design with tenant_id isolation and Row-Level Security -->> FastAPI REST endpoints for frontend and AI Agent integration -->> Cloud SQL/Postgres schema design, migrations, indexing, and performance tuning -->> Authentication + RBAC with Identity Provider integration -->> Audit logging of user and AI-triggered actions -->> AI endpoints supporting SSE/WebSockets for streaming responses -->> Encrypted storage on GCS with CMEK, support for admin impersonation and master audit trail -->> Deployment on Cloud Run with Docker, environment configs, load balancing, and Cloud Armor I will structure the backend to enforce tenant isolation at the database level, ensure secure API access, and provide a reliable integration layer for AI tools. Documentation will include API contracts, deployment instructions, and system diagrams. Thanks & regards Julian

@efanntyo

Hi there, ⭐ I am Efanntyo, a seasoned backend architect with deep expertise in Python, FastAPI, PostgreSQL, and Google Cloud Platform. Your project outline , multi-tenant data isolation via tenant_id, RLS enforcement at the database layer, Cloud SQL migrations and performance tuning, and Cloud Run deployment , aligns perfectly with my track record delivering scalable, compliant, and observable backend platforms. I have designed secure, auditable APIs and robust RBAC integrations (including Google Identity) for regulated domains, and I routinely implement envelope features such as audit trails, impersonation logging, streaming responses (SSE/WebSockets), and protected storage with CMEK on GCS. My approach ensures every API call is tenant-scoped, data leakage is prevented by Row Level Security, and performance is tuned through index strategies, query planning, and connection management. I will build the FastAPI layer as a clear, RESTful contract for the Frontend and AI tools, expose a dedicated /api/ai/chat gateway for Gemini sessions, and implement a resilient deployment pipeline on Cloud Run with secure environment management and CI/CD. I will also implement the Tenant Health Score using real uptime metrics and DB health metrics, plus an end-to-end audit trail that captures AI-triggered actions in a Master Audit Trail for transparency. Encrypted storage with CMEK is planned for all documents, and a global HTTP(S) Load Balancer with Cloud Armor will shield the system from co

@maksymh31

Hello, I’ve reviewed your multi-tenant FastAPI + Postgres on GCP requirements and can implement a secure, auditable backend that enforces tenant isolation and supports AI tooling. Approach: I will enforce tenant_id at DB level using Row-Level Security and required tenant_id columns; design FastAPI REST endpoints (including /api/ai/chat) with SSE/WebSocket streaming; implement Google Identity integration and RBAC checks in middleware; add a Support Token impersonation engine that writes to a Master Audit Trail; manage Cloud SQL schema, migrations and indexing for performance; containerize with Docker, deploy to Cloud Run, and protect with Global HTTP(S) Load Balancer + Cloud Armor. I will store documents in GCS with CMEK and log all AI-triggered events to audit_logs. What I need to start: repo access, service-account keys or limited GCP IAM roles, current DB schema and migration tool, example JWT/IdP config, and test tenant data. Timeline: I can deliver a secure MVP with RLS, core endpoints, auth and audit logging in ~7 days, then iterate on AI tooling and performance tuning. Do you already have a Cloud SQL instance, existing DB schema/migrations and a CI/CD pipeline (Cloud Build/GitHub Actions) I can use, or should I provision these from scratch? Best regards,

@chiragardeshna

Hi there, You need tenant-level data isolation, a clean AI gateway, and a full audit trail — all without any cross-tenant leakage. That is not a simple backend job. I have built FastAPI services on GCP with Cloud Run, RLS on Postgres, and JWT middleware that scopes every query before it touches the database. I would start by locking the database layer first — RLS on every table, tenant_id on every row, migrations planned so nothing breaks. Then build the FastAPI middleware to validate the JWT and inject tenant context on every request. AI gateway and SSE streaming come after the data layer is solid. One question — is this a new schema or are we retrofitting RLS onto existing tables? Happy to jump on a quick call to map this out. Regards Chirag

@andriik18

Hi there, I'm excited about the opportunity to work on your multi-tenant architecture project. Implementing tenant_id isolation logic at the database level using Postgres and designing APIs with FastAPI are right within my expertise. With over 7 years of experience in Python and database management, I have successfully developed and maintained complex systems that demand precision and performance. My skills in integrating authentication and role-based access control will ensure that your security measures are robust and reliable. I have a deep understanding of Google Cloud services, allowing me to create efficient deployment pipelines and manage containerization effectively. By automating audit logging and tenant health scoring, I will help streamline compliance and ensure your application remains operationally excellent. I look forward to collaborating on this project, and I’m eager to discuss your specific needs in more detail.

@rbtech1984

Hello There!!! ★★★★ ( Backend & Database Architecture on GCP ) ★★★★ I understand you need a secure multi-tenant FastAPI backend on GCP with strict tenant isolation, RLS, RBAC, audit logging, and AI-ready endpoints. Focus is performance, compliance, and clean scalable architecture. ⚜ Multi-tenant Postgres with RLS isolation ⚜ FastAPI REST endpoints & AI gateway ⚜ Cloud SQL schema, indexing & migrations ⚜ JWT auth + Google Identity RBAC ⚜ Dockerized Cloud Run deployment ⚜ Audit logs & impersonation tracking ⚜ Secure GCS storage with CMEK I bring 9+ years building secure SaaS backends and high-performance APIs. I’m very careful with data isolation and long-term maintainability. My plan is FastAPI + PostgreSQL (Cloud SQL), SQLAlchemy migrations, SSE/WebSockets streaming, and GCP native security stack with Cloud Armor and Load Balancer. Happy to discuss your architecture and start quickly. Warm Regards, Farhin B.

@adisonw

Hello, I’m excited about this architecture because it combines secure multi-tenant design, AI tooling, and GCP-native infrastructure in a way that requires careful backend engineering. I’ve built multi-tenant systems using FastAPI and PostgreSQL with strict tenant_id isolation, Row Level Security, and indexed schemas for performance tuning on Cloud SQL. I implement JWT validation with Google Identity integration and enforce RBAC at both API and database levels to prevent privilege escalation, including scoped AI-triggered actions. For AI integration, I design dedicated endpoints such as /api/ai/chat, execute tool calls safely against scoped queries, and stream responses via SSE or WebSockets. On GCP, I manage Dockerized deployments to Cloud Run, configure Global HTTP(S) Load Balancers with Cloud Armor, and implement structured audit logging for full traceability, including impersonation master trails. I also configure GCS with CMEK for encrypted document storage and automate tenant health scoring using uptime and DB metrics. I’d like to go over a few points: Will each tenant use a shared schema with RLS, or are you considering schema-per-tenant isolation? Do you require Gemini to run fully server-side without exposing any AI keys to the frontend? I’m confident I can deliver a secure, compliant, and scalable backend foundation for this platform. Thank you for considering my proposal. Adison

@malkesh3m

⭐ Hello there, My availability is immediate. I read your project post on Python Developer for Backend & Database Architect. I am an experienced full-stack Python developers with skill sets in - Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL - React, JavaScript, jQuery, TypeScript, NextJS, React Native - NodeJS, ExpressJS - Web App Development, Data Science, Web/API Scrapping - API Development, Authentication, Authorization - SQLAlchemy, PostegresDB, MySQL, SQLite, SQLServer, Datasets - Web hosting, Docker, Azure, AWS, GPC, Digital Ocean, GoDaddy, Web Hosting - Python Libraries: NumPy, pandas, scikit-learn, tensorflow, etc. Please send a message So we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks