Azure Expert for SaaS Backend Setup

@Microlent

Hello, I am Dr. Rajesh Rolen, PhD in Computer Science & Engineering, with experience of over 20+ years in AngularJS, NoSQL Couch & Mongo, Backend Development, PostgreSQL, Python As a preferred freelancer in the top 1%, I have done 400+ projects here on freelancer.com, I have 4.9 ratings out of 5 on average, which showcases my quality of work and timely delivery. Key Highlights: - Free Hosting Support on the Cloud or any desired platform. - Free 3 months of post-delivery support to ensure that our client doesn’t face any challenges after the launch of the project. - Free Dedicated tester on projects to ensure quality delivery, so clients don’t need to act as a tester. - 10+ Years experience UI/UX team to ensure intuitive UI. Portfolio: https://www.freelancer.com/u/Microlent Please open the chat and send me a message, so we can have a more detailed discussion about the project to give you the project timeline and cost. Thank you for considering my services. I look forward to engaging in a productive conversation and understanding how I can be of assistance in bringing your project to life. Regards Rajesh Rolen

@diektech

Hi — Elias here from Miami. I understand you're looking to establish a robust backend SaaS engine on Azure that will automate monthly processes. Achieving this will require a thoughtful approach to ensure reliability and scalability. What usually matters most here is the integration of various data sources and the management of user permissions. A common issue in systems like this is ensuring that as your user base grows, the backend can handle increased loads without sacrificing performance. The tricky part is usually setting up a flexible architecture that allows for easy enhancements down the line. My approach would involve designing a modular system using Azure Functions for automation, along with a NoSQL database like MongoDB for adaptable data storage. This structure promotes maintainability and allows future expansions without major overhauls. I’ve worked on similar SaaS solutions, focusing on balancing performance with user experience. A few questions to better understand the scope: Q1 – What are the key user roles and their permissions in this system? Q2 – Have you considered how you want to handle data integrations with existing services? Q3 – What scalability expectations do you have for the initial launch? Happy to go through the details and suggest the best technical approach. Looking forward to hearing from you.

@shrec

Hi, I’d set this up as a secure Azure-hosted SaaS backend with PostgreSQL at the core, separating subscriber management, monitoring jobs, removal requests, billing, and reporting so each workflow can run reliably in the background. For the monthly broker requests, breach and dark-web checks, reverse-image searches, and media monitoring, I’d integrate established APIs rather than building fragile custom scrapers. I’d use Azure Functions or a suitable queue-based worker setup for scheduled scans and retries, with clear job status tracking and failure handling. I’d also configure managed authentication, Stripe subscriptions, transactional email, environment/secrets management, logging, and deployment so the backend is ready for the frontend team to consume through a clean API. I’d keep the architecture modular and privacy-focused, with the Australian Azure region and data-residency requirements considered from the start. Best, Ivane

@hirenksanghvi

Hi, Greetings from the team at Syndell! We understand you need a robust backend SaaS engine to automate data privacy and dark-web monitoring - handling automated deletion requests, credential leak detection, and subscriber billing in one integrated system. Our team excels at building scalable backend systems with complex data workflows and third-party integrations. We match the right tech stack to your team's strengths and constraints. Are you starting fresh on Azure, or migrating existing infrastructure? We hold 5-star reviews on Clutch and GoodFirms and rank among the top-rated companies for our services on Freelancer.com. We are keen to connect, answer any questions you may have, and share relevant examples from our portfolio once we are engaged. Excited about the possibilities ahead. Thanks! PS: The final time and cost may be subject to change based on our discussion.

@devendrathakur12

Hi, I’m a Senior Azure AI Engineer with 20+ years in SaaS and automation platforms. I have gone through your specific requirement for privacy SaaS backend I built something like this for business platforms, with 20+ years of engineering. I would use Azure Functions with PostgreSQL over always running servers because scheduled broker requests and rescans fit event based jobs better. I will build the Python FastAPI backend with Azure Functions handling scheduled jobs and background processing. I will connect Stripe, managed authentication and licensed monitoring APIs, keeping sensitive subscriber data inside the Australian Azure region. And I will structure broker removals and monitoring as separate jobs with status history, so failed vendor calls can be retried without duplicating requests. Azure, Python and PostgreSQL samples can be sent. Which Azure subscription and Australian region are already available? Which broker removal, breach and reverse image APIs have you shortlisted? For the employer product, which identity and credential checks must be included in the first release? Free for a quick call this week? Or answer those three and I’ll map the backend first. Dev Singh

@corpmember29

Hello, AZURE SAAS PLATFORM — I HAVE 10+ YEARS OF EXPERIENCE WITH AZURE, NODE.JS/TYPESCRIPT, POSTGRESQL, API INTEGRATIONS AND SCALABLE SAAS SYSTEMS. I understand you need a secure backend SaaS engine for automated data-broker removal requests, dark-web and breach monitoring, public ID leak checks, reverse-image search, social/news monitoring and subscriber management. I can build the backend with secure API integrations, scheduled automation, subscription and billing management, background jobs, notifications, audit logs, monitoring and a scalable architecture. I will use established licensed data providers instead of relying on custom scrapers, with proper security, access control and Australian data-residency considerations. I can provide complete source code, deployment configuration, API documentation and handover. Thanks, Christina

@denisSolution

Hi, I'm Denis, a full-stack developer specializing in SaaS backends with automated workflows, third-party integrations, and subscription management. I understand your needs: a reliable backend that orchestrates monthly automation tasks, manages subscriber accounts and billing, and aggregates monitoring results into reports. The core challenge is building a system that reliably triggers workflows, handles failures gracefully, and scales. I've built similar systems where background jobs run on schedule, retry intelligently on failure, and log outcomes for customer visibility. The key is choosing the right queue system and structuring your data to track what's been checked, when, and what was found. Here's my approach: First, we'd map your data model in PostgreSQL—subscribers, monitoring preferences, and reports. Then we'd set up a job queue using BullMQ or Celery for monthly requests and periodic re-scans. The backend would orchestrate calls to your licensed APIs for breach checking and dark-web monitoring, aggregate results, and trigger notifications. Stripe billing integration sits on top. The main technical consideration is API reliability. Since you depend on third-party vendors, we'd handle rate limits, timeouts, and partial failures gracefully—if one data source is slow, it shouldn't block the entire report. Building retry logic and fallback behavior upfront keeps the system resilient. One realistic risk: unclear SLA expectations from your data vendors. Some APIs ha

@ShaikhAneesa

Hi there, I understand you need an Azure-hosted SaaS backend that automates privacy protection across data-broker removals, breach/dark-web monitoring, public ID leak checks, reverse-image searches, social/news exposure, and subscriber management. I’m confident I can build this around licensed APIs rather than fragile custom scrapers, with secure recurring processing and PostgreSQL as the central data layer. My approach is to first build the Python/FastAPI backend, PostgreSQL schema, managed authentication, Stripe subscription handling, and Azure infrastructure in the Australian region. Then, I’ll create a provider integration layer for breach, broker-removal, dark-web, reverse-image, identity, and media APIs, normalizing results and tracking each subscriber’s status/history. Finally, I’ll implement Celery/Azure scheduled jobs for monthly broker requests and re-scans, webhook-driven plan changes, retries, idempotency, audit logs, and secure credential handling. You’ll receive the SaaS backend, database, Azure deployment, authentication, Stripe integration, scheduled jobs, API integrations, subscriber management, documentation, and handover. I’ll keep external providers modular so vendors can be replaced or added without rebuilding the core system. Could you confirm which licensed API providers you already have access to, or should I design the integration layer provider-agnostically? I’m ready to start immediately. Warm Regards, Aneesa.

@p4logics

Hello Sir, I understand you need an Azure-hosted SaaS platform to automate personal data removal from brokers and monitor the dark web, social media, and news for identity leaks. As an Azure expert, I will build your backend using Node.js and PostgreSQL, integrating trusted third-party APIs for leak checks and data removals rather than custom scrapers to ensure speed and legal compliance. Finally, I will set up automated background queues for the monthly scans, secure user authentication, and Stripe billing to deliver a complete, safe, and fully functioning privacy engine for your subscribers.

@ffulb

The real constraint here is broker API coverage and rate limits across 50+ different data removal endpoints, each with different auth schemes and throttling rules. I'd build a priority queue in BullMQ with per-broker retry logic and exponential backoff, wrapping each broker in a standardised adapter so you can add new ones without rewriting the scheduler. PostgreSQL tracks removal state per customer per broker, FastAPI handles the API layer, and I'd host it in Azure Australia East to keep data residency clean. I built a full invoicing platform on Supabase with 81 tables and row-level security, and recently deployed a FastAPI travel planner with external API orchestration, both at ffulb.com. I'd want to see what dark web monitoring and broker APIs you already have access to, or if you need those wired up from scratch using your own keys. If you can share Azure credentials and any existing API docs, I can confirm the exact queue design and get the backend stood up.

@shivmirthyusl

Hi, As a seasoned developer and the head of IT Flex Solutions India, I lead a team of 40+ skilled professionals ready to offer you comprehensive Azure expertise for your backend SaaS engine setup. Having delivered over 483 successful projects in my 19 years of experience, my exposure to Amazon Web Services, AngularJS, Backend Development, NoSQL Couch & Mongo, PostgreSQL, and Python leaves me already aligned with your ideal tech stack solution. More than just creating seamless applications, our top focus is on creating digital solutions that drive business growth. Your project will require monthly automated deletion requests sent to data brokers on behalf of subscribed customers – an aspect we're well-positioned to handle having developed similar backend systems before. Additionally, we can reliably manage the complex tasks like dark-web monitoring for leaks and government/public ID-database leak checks which are critical for safeguarding user data integrity. We plan to leverage established APIs for your project as suggested, including licensing a breach-database API, data-broker-removal API/service or building a maintained internal list of brokers with documented opt-out procedures per broker. Thanks, SBM

@offshore9006

Hello, We are an experienced team of IT experts with strong Azure, Node.js/TypeScript, Python, PostgreSQL, SaaS architecture, API integration, automation, and security expertise. We can design and deploy your complete backend SaaS engine on Azure in the Australian region, with secure managed authentication, Stripe billing, subscriber/plan management, scheduled background jobs, monitoring, and scalable APIs. We can integrate established third-party APIs for breach/dark-web monitoring, data-broker removal, reverse-image search, social exposure, and news/media monitoring rather than relying on fragile custom scrapers. We will also ensure secure data handling, logging, role-based access, backups, and production-ready Azure deployment. We can start quickly and provide a clear architecture and implementation roadmap. We charge AUD 30/hr. Best.

@jayantkumar314

I can architect and deploy this SaaS backend on Azure in an Australian region, covering subscriber management, Stripe billing, PostgreSQL, authentication, scheduled background jobs, monitoring workflows, transactional email, and secure API integrations with licensed third-party data providers. I’d structure it with Azure App Service/Container Apps or Functions, Azure Database for PostgreSQL, Service Bus/queues, Key Vault, monitoring, and CI/CD so the system is scalable, auditable, and easy to maintain. I can also help evaluate the external breach, dark-web, reverse-image, broker-removal, and media-monitoring vendors before integration, then document the final architecture and deployment process clearly.

@juanpablomacf

I can set up the full Azure backend for your SaaS engine - monthly automated broker‑deletion requests, dark‑web monitoring, ID‑leak checks, reverse‑image search, social‑media exposure checks, news monitoring and subscriber management - using a secure, scalable cloud architecture. I work with Azure Functions, Azure Queues, Event Grid, Azure PostgreSQL, Key Vault, Blob Storage, and Python for API orchestration. Each feature runs as an isolated job: scheduled deletion workflows, breach‑check integrations, licensed dark‑web/identity APIs, reverse‑image search vendors, media‑monitoring APIs and social‑exposure checks. All tasks run through a queue system for retries, logging and audit trails. Auth via a managed provider (Auth0/Clerk), payments via Stripe AU, email via Postmark/SendGrid with SPF/DKIM/DMARC. The system will support multi‑tier plans, subscriber management, billing, and country‑specific data rules. I've built SaaS platforms with automated scanning, privacy workflows and Azure‑native job pipelines. I can outline a clean architecture and deliver a production‑ready backend with monitoring, alerts and documentation. Juan Pablo

@dvcontact

Hello Sir, Have you considered how an automated SaaS backend could revolutionize your data protection efforts? My approach leverages a robust tech stack, ensuring seamless integration and reliability, while prioritizing legal compliance through licensed APIs. Let's discuss how we can transform your vision into a powerful solution that safeguards your customers' data. Best, Smith

@starttechno

Provisioning Azure Australia with PostgreSQL, Key Vault, managed identity, and a queue worker is the right first move, because monthly broker requests and recurring leak re-scans need reliable scheduling rather than web-request timers. In 7 days, I’ll deliver an Azure-deployed FastAPI backend foundation with tenant, subscriber, plan, billing, and removal-status data; magic-link authentication; Stripe AU webhook handling; scheduled job orchestration; audit records; and provider adapters for breach, dark-web, reverse-image, social, news, and broker-removal APIs. Raw card data will remain with Stripe, while the architecture keeps licensed vendors replaceable and supports Australian data residency. I built ClearAgent, a multi-tenant customs-clearing SaaS running a live operation end to end, including clear tenant and workflow boundaries. Do you already have preferred vendors or API credentials for the broker-removal and dark-web services? Muhammad Saad

@LeadForce1

Hi, Luigi Tady here, from Toronto. "Azure Backend With Queued Monthly Jobs, Licensed Data APIs Instead of Scrapers" — an engine that runs on schedule and stays defensible. I want to be direct on one thing: my cloud background is mainly AWS with Docker and PostgreSQL, so if the Azure requirement is firm I will say so rather than pretend otherwise. The architecture principles carry over, and I am comfortable working in Azure, but you should know where my depth is. On the build itself, the part that decides whether this works is the scheduler. Monthly deletion requests, re-scans and leak checks cannot run on a request; they need a queue with retries and a record of every attempt per subscriber, so you can prove what was sent and when. That is also your audit trail if a subscriber asks what happened to their data. I would keep PostgreSQL for subscriber and removal status, Stripe for billing with hosted fields so no raw card data touches the server, and a managed auth provider with magic links. Your instinct on data sources is right: license breach, dark-web and reverse-image APIs rather than building scrapers. It is faster, cheaper to maintain, and far more defensible legally. One question: is the Azure requirement firm, or would AWS be acceptable given the same Australian region and data-residency guarantees? Looking forward to working with you. Luigi Tady

@emilesd617

Hi, I am an Azure and SaaS backend developer with 8 years of rich experience in software development, with a strong background in cloud architecture, subscription platforms, API integrations, background jobs, monitoring, and secure data workflows. I am familiar with Azure, Python, FastAPI, Node.js, TypeScript, PostgreSQL, Azure Functions, Service Bus, Key Vault, App Service, Container Apps, Blob Storage, Stripe, Auth0, SendGrid, REST APIs, queues, scheduled jobs, logging, and CI/CD. For your SaaS backend, I can design the Azure architecture around secure subscriber management, monthly broker-removal workflows, scheduled monitoring jobs, licensed third-party breach/dark-web/reverse-image/media APIs, reporting, billing, alerts, and Australian-region data residency, while keeping credentials and sensitive data protected through managed Azure services. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Thanks. Emile.

@Joya1996

You’re essentially building a privacy-monitoring SaaS with recurring automation, not a simple backend, so the important part is designing for reliability before features pile up. My first step would be to map the backend domains clearly—subscribers, scans, broker requests, alerts, billing events, and reports—then set up Azure services around that instead of forcing everything into one service. I’ve worked on cloud-based systems where scheduled processing, API vendors, and customer account changes all had to stay traceable and easy to maintain. For your scope, things like job retries, auditability, region choice, and secret management matter just as much as the code itself. I can include a suggested phase split so the first release stays lean and usable. - Do you want Node/TypeScript or Python based on your internal preference, or should I recommend the cleaner fit for Azure here? - Will monthly broker deletion requests be triggered per user subscription date, or as a batch cycle? - Do you already need admin dashboards in this phase for managing subscribers, plans, and scan results?