Python Backend Engineer for Azure

@augurstech

A Warm Hello! We are readily available to start working on this project! We’re a backend engineering agency with strong experience building production-grade Python APIs, data pipelines, SQL Server systems, and Azure cloud infrastructure for platforms where reliability, scalability, and data integrity are critical. Your construction-tech platform is a strong fit for our expertise. We can take ownership of the backend layer—from API architecture and database modelling through Azure infrastructure, ingestion pipelines, processing workflows, and structured exports. We’d be happy to review the existing architecture and discuss how we would approach the drawing ingestion, processing pipeline, scheduling data model, XML export, and Azure infrastructure. We can start with a focused technical discussion and quickly move into implementation. Best regards, Ana

@Microlent

Hello, I am Dr. Rajesh Rolen, PhD in Computer Science & Engineering, with experience of over 20+ years in API Development, Backend Development, Software Architecture, Database Design, Python, Django 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

@MashoodurRehman1

I am a seasoned backend engineer with over four years of experience in Python, SQL Server, and cloud environments, particularly Azure. I can effectively design and implement scalable APIs and data pipelines, managing large datasets and ensuring data flows seamlessly through complex systems. In a recent role, I developed a robust API and data pipeline that streamlined processes for a construction-management platform. This work involved orchestrating data ingestion and processing large sets of project drawings and exporting data in XML to integrate with scheduling tools. My code directly impacted time-sensitive project deliveries, improving efficiency and reliability. My expertise extends to database modeling to ensure scalable, responsive schemas and establishing sound practices in infrastructure as code, monitoring, and CI/CD within Azure. I have a strong understanding of serialization protocols, including XML, relevant to your project needs. I am interested in discussing how I can contribute to your platform's growth. Could we arrange a time to explore the project's objectives further?

@diektech

Hi — Elias here from Miami. I see you’re looking to extend your construction-tech platform with a seasoned backend engineer. The goal of enhancing your system for better performance and scalability is clear. What usually matters most here is ensuring the backend can handle increased user loads without compromising reliability. A common issue in systems like this is managing complex integrations, particularly with Azure and possibly AWS, while keeping the architecture maintainable for future updates. The tricky part is aligning the API development with your existing workflows to ensure seamless data handling. My approach would involve designing a modular backend using Django, focusing on clear API endpoints and robust database schemas. This structure will support current needs and allow for future enhancements without major overhauls. I’ve worked on similar platforms where I optimized backend processes to improve performance and reliability. A few questions to better understand the scope: Q1 – What specific user roles and permissions do you envision for the platform? Q2 – Are there existing services or databases that need to integrate with the new backend? Q3 – What are your expectations regarding scaling as user demand increases? Happy to go through the details and suggest the best technical approach. Looking forward to hearing from you.

@ZohaibRoy

⭐⭐⭐⭐⭐ Expert Backend Specialist for Your Construction-Tech Platform ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and see you are looking for a seasoned backend specialist. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects in backend development. I will create robust APIs and data pipelines that seamlessly connect your AI, computer vision, and frontend layers. Additionally, I will ensure reliability and security in every output. ➡️ Why Me? I can easily handle your backend needs as I have 5 years of experience in backend engineering, focusing on Python, SQL Server, and Azure. My expertise covers API design, database modeling, and data pipeline development. I also have a strong grip on cloud optimizations and infrastructure as code, ensuring your platform runs smoothly and efficiently. ➡️ Let's have a quick chat to discuss your project in detail and let me show you examples of my previous work. I look forward to discussing this with you in our chat. ➡️ Skills & Experience: ✅ Python Development ✅ API Design ✅ SQL Server ✅ Data Pipelines ✅ Azure Infrastructure ✅ Database Modeling ✅ CI/CD Implementation ✅ XML Handling ✅ Cloud Optimization ✅ Security Best Practices ✅ Monitoring Solutions ✅ Project Metadata Management Waiting for your response! Best Regards, Zohaib

@gunslinger

I’ve got 10+ years in software engineering and my strongest area is python backend development, including production APIs, data pipelines, PostgreSQL/SQL databases, cloud infrastructure and AI/computer vision systems. This project is a strong match for me because I’m used to building backend services where reliability and data flow actually matter to the business. I’ve worked with python, django, FastAPI, docker, AWS/Azure and structured data integrations, and I’m comfortable designing APIs, database models and ingestion pipelines that need to scale. For your platform, I’d focus on making the drawing ingestion and processing pipeline reliable, keeping the data model clean as the scheduling features grow, and making sure the XML output is predictable for downstream systems. I’m also comfortable taking ownership of an existing codebase and improving it without needing constant supervision. Kindly contact me for further discussion Thank you Yuda

@Mahihassi

As the Head of Multidisciplinary Engineering at MHTechFusion, I've been an integral part of many full-stack projects like yours. With a proven track record of building scalable systems that connect frontend, backend, and cloud platforms--ensuring their reliability, observability, and security is a given. On the backend architecture side, I have years of experience using Python (a language I'm fluent in) to build APIs and data pipelines within Azure (among other cloud platforms). My database design skills are top-notch and will be vital to ensuring your project's schema scales effortlessly as new features get added. Most importantly, my ability to optimize cloud environments aligns perfectly with your project needs, as does my previous experience with XML and structured data serialization. I’m confident my team and I can design robust APIs and data pipelines that'll handle your large drawing sets proficiently, orchestrating seamless ingestion, storage, processing, while also ensuring clean XML outputs for downstream tools. In a nutshell: from designing highly-scalable AI-powered systems to optimizing backend workflows for time-critical business needs; I’ve got you covered!

@ukroficer

Hello, ✅ You’re not just hiring a Python engineer — you need someone to own the Azure backend that keeps drawing ingestion, AI/computer-vision processing, SQL Server data modelling, and XML exports reliable for mission-critical scheduling workflows. We’ve spent 8+ years building backend systems with PHP/Laravel/Node and cloud infrastructure, and we’re Top Rated on Freelancer with 100% completion. We've shipped 100+ Laravel/Symfony/Node backends — APIs, payment integrations, CRMs, SaaS. Top Rated on Freelancer, long-term partnerships with multiple SaaS clients. For your platform, we’d focus on clean, highly-scalable API design, resilient ingestion/data pipelines, SQL Server schema planning for schedules/activities/project metadata, and strong observability/security inside Azure. We’d also help shape CI/CD and IaC so the backend stays fast, traceable, and stable as volume grows. Two backend questions: 1. Is your Azure stack centered on App Service/Functions/AKS, and are the ingestion + processing pipelines event-driven via Service Bus/Event Grid or more synchronous today? 2. For SQL Server, have you already defined the schedules/activities/project metadata schema, or do you need help modelling versioned drawing-derived entities and XML export mappings from scratch? Happy to dive into the API spec and Azure architecture — message me. Please let me know your thoughts. Looking forward, Roman

@Hubready

Hello!, I am a Florida-based senior software engineer(frontend, backend, ecommerce, etc) with 15+ years of experience building production systems in Python, Django, Azure, AWS, API development, and database design. I read your project carefully, and the goal is clear: extend the construction-tech platform with a backend that is reliable, clean, and scalable. I’d handle this in practical phases: 1) review the current architecture, data flow, and Azure setup 2) identify the backend ownership points, bottlenecks, and risky dependencies 3) implement the required Python/Django changes with solid API and DB design 4) test, validate, and document it so it stays maintainable I’ve done similar backend work for SaaS, automation, and data-heavy platforms, so I’m comfortable owning the details instead of just coding to the ticket. If you want someone who notices edge cases early and keeps the system stable, that’s exactly how I work. Could you please clarify the following questions to help me better understand the project? 1) What backend area needs ownership first: APIs, database, Azure deployment, or all three? 2) Do you already have an existing Django codebase and Azure setup, or should I help define the structure too? 3) Are there performance, security, or integration priorities I should account for upfront? I’m ready to jump in and treat this like a real product, not just a task. -James

@Herculesz

Hi, this is a backend ownership problem more than a feature build, and that’s the kind of system work I usually take on when a product already has AI, frontend, and operational dependencies in motion. The real engineering risk is not the API surface itself; it’s keeping ingestion, transformation, and export deterministic when large drawing sets and schedule-critical outputs move through the same pipeline. I usually structure that as separate ingestion, processing, and export layers with clear state transitions and replayability. The closest match in my recent work is Custom Feature Development & Integration, where I dropped into an existing product, reviewed the codebase, tightened the database and core logic, and delivered maintainable changes with tests and handoff documentation. NYSE Day Trading Bot Development is also relevant because the backend directly affected a time-sensitive business workflow where reliability mattered more than demo behavior. Given your Azure and SQL Server environment, I’d focus first on schema boundaries for schedules, activities, and project metadata, then define idempotent processing around drawing revisions and XML generation so downstream tools receive stable outputs. If useful, I can sketch the ingestion and export architecture first, including where to place validation, retries, and monitoring. Thanks, Hercules

@kabirchy

Hi there, I understand you need a Python backend engineer to extend your construction-tech platform on Azure with SQL Server integration. I have extensive experience building scalable backend systems in Python on Azure cloud infrastructure, with deep expertise in Django frameworks and database design. My approach focuses on seamless integration with existing Azure services while maintaining clean architecture. I'll work directly with your SQL Server backend and ensure all API endpoints follow best practices for performance and security. I've successfully delivered similar construction-tech solutions involving complex data models and enterprise-grade APIs. I'm ready to dive into your existing codebase and implement new features while maintaining consistency with current architecture patterns. My experience includes working with Azure services like App Service, Functions, and Storage, alongside robust Python development practices. Best Regards, Khorshed Alam, RS Software

@starttechno

Your Azure/Python backend sits at the critical point between AI, computer vision, frontend workflows, and project-scheduling tools, so I would focus first on dependable processing and traceable outputs. I have 10+ years of backend experience and have delivered production APIs and data-driven systems using Python, Django/FastAPI, SQL Server, Azure, Docker, and CI/CD. For this platform, I would design versioned REST APIs, model schedules, activities, drawings, and project metadata with scalable relational patterns, and build an asynchronous ingestion pipeline for large drawing sets. Azure Blob Storage, queues/workers, and idempotent processing would keep uploads reliable while avoiding long API requests. XML generation would use validated schemas, deterministic serialization, and clear error reporting so downstream scheduling imports are safe. I would also add authentication, role-based access, audit trails, structured logging, metrics, alerts, automated tests, and IaC for repeatable Azure deployments. In a time-critical workflow project, I built backend integrations that transformed incoming operational data into validated structured records consumed by scheduling and reporting processes. Queue-based processing, retries, and database constraints prevented partial updates and made failures visible before they affected the business workflow. Muhammad Saad

@denisSolution

Hi, I'm Denis, a backend engineer with experience building systems for large data volumes, API orchestration, and cloud infrastructure on Azure and AWS. Your construction-tech platform needs robust APIs, pipelines, and schema design to connect AI, computer vision, and frontend layers while ensuring reliability for mission-critical schedules. I’ve optimized time-sensitive workflows—like an ingestion pipeline that reduced processing latency by 40% for real-time analytics. Here’s my approach: First, we’ll review the current architecture and data flow to identify bottlenecks. Then, we’ll model the database schema for schedules and metadata to ensure scalability. Core implementation would focus on Python-based APIs in Azure, designed for low latency and high availability, with IaC for consistent deployments. Integration work would include handling XML/structured exports for downstream tools, while monitoring and CI/CD pipelines would keep the system observable and maintainable. A key focus will be efficient data serialization. Since you’re working with XML and structured formats, I’ll ensure robust schema validation and parsing to minimize processing overhead—especially for large drawing sets. Risks like unclear API contracts or third-party dependency limits would be addressed early by defining strict interfaces and fallback strategies. I’m available to start immediately. Let’s connect and discuss the details. Thanks, Denis

@toriquldev123

Hello There! I’m Md Toriqul Islam, and I’m excited to partner with you. I can take ownership of the backend architecture, APIs, data pipelines, and Azure infrastructure for your construction-tech platform. I have rich experience in Python, FastAPI, SQL Server, Azure, REST APIs, data pipelines, relational modeling, XML/structured data processing, Docker, CI/CD, monitoring, and scalable cloud architectures. I understand you need production-grade backend services connecting AI, computer vision, and frontend systems, while reliably ingesting large drawing sets, processing project data, modeling schedules and activities, and exporting structured XML for mission-critical scheduling workflows. I’m skilled in Python backend engineering, Azure services, database optimization, API design, ETL/data pipelines, IaC, observability, security, and enterprise data formats, making me confident I can build a reliable and scalable foundation. I’m ready to discuss a relevant time-critical workflow project, review your existing Azure architecture, and propose a practical backend roadmap with milestones. Looking forward to hearing from you. Best regards, Md Toriqul Islam

@Walkingdreams

As a seasoned backend specialist with over 13 years of experience, I and my team at Walking Dreamz Technologies are adept at handling complex construction-tech projects like yours. Having completed over 300 successful projects with enterprise-grade applications, we've honed our skills in MERN stack, WordPress/PHP and AI-powered platforms - all the areas your project demands. Our proficiency with Python and Django has allowed us to build robust, scalable APIs as well as streamline data pipelines in numerous projects. For instance, we recently worked on an AI-based platform where the backend code directly impacted time-critical workflows for delivering customer insights. This experience has provided us with crucial insights into creating reliable, observable, and secure systems - all requisites for your project. Additionally, our expertise in cloud optimization on Azure coupled with familiarity in enterprise formats such as XML enable us to forge efficient infrastructures and design impactful schemas. What sets us apart is our strong emphasis on clear communication, clean code, and predictable delivery - a philosophy that ensures we not only meet but exceed client expectations consistently. By partnering with us, you get the benefit of a proficient team that complements your needs to transform your vision into reality; stable today and easy to extend tomorrow. Let's talk more about how we can enhance and future-proof your construction-tech platform!

@JustinJcob

I got you! I can own the backend for your Azure-based construction-tech platform, building scalable Python APIs, SQL Server schemas, and reliable data pipelines connecting AI/CV outputs to scheduling tools via XML or structured exports. I’m ready to handle the full backend scope, from ingestion orchestration and storage to observability, CI/CD, security, and cloud optimization. I’m young, a fast learner, available 24/7, and focused on delivering production-grade systems. Get the demo first before you pay. A relevant example: I worked on a workflow automation backend where Python APIs processed time-sensitive operational data, stored it in a relational model, and generated structured outputs used by downstream planning teams, reducing manual coordination delays and improving reliability. Two quick questions: Do your drawing ingestion workflows run batch-based, event-driven, or both? Which scheduling tools or XML schema standards should the export layer target? Let’s chat and discuss the answers. Kind regards, Haroon Z

@HamparProd

Hi, I can take ownership of the Python backend and build the API/data layer connecting your AI, computer-vision, frontend, and scheduling components. I’d structure the backend around well-defined services for drawing ingestion, processing orchestration, project/schedule data, and downstream exports. For large drawing sets, I’d keep expensive processing asynchronous using queues/workers rather than tying it to API request lifecycles, with clear job status, retries, idempotency, and failure recovery. On Azure, I’m comfortable with production API deployment, Blob Storage, SQL Server/Azure SQL, managed identities, Key Vault, monitoring, CI/CD, and infrastructure-as-code. I can also design the relational model around projects, drawing sets, schedules, activities, dependencies, processing jobs, and versioned outputs so the system can evolve without repeatedly restructuring core data. For scheduling integrations, I can generate validated XML/structured exports from canonical internal models rather than coupling the database directly to individual external formats. I’ve worked on backend systems where API and processing reliability directly affected time-sensitive operational workflows, so I pay particular attention to transactional integrity, retries, observability, validation, and reproducible processing. I can start by reviewing the existing Azure architecture, database schema, API contracts, and current ingestion workflow before extending it.

@Aaleen110

The complexity of handling large drawing sets and orchestrating their ingestion, storage, and processing is the part that usually breaks on jobs like this, so I’ll start by building out the data ingestion pipeline using Python and Azure Blob Storage, also setting up an event-driven architecture with Azure Functions to trigger processing as files land. I will design the APIs to connect the AI, computer-vision, and frontend layers, also ensuring they are built with FastAPI for speed and ease of use, and for database modelling I will use SQL Server within Azure SQL Database, defining schemas for schedules, activities, and project metadata. The structure will support efficient querying for the downstream project-scheduling tools. A common issue here is data loss during processing, so I will implement robust error handling and retry mechanisms, also logging all operations to Azure Application Insights for observability. For what it is worth, every job I have taken on Freelancer has gone out on time and on budget, 100% on both. What specific output formats for downstream project-scheduling tools are most critical, beyond XML? In the first day or two, I will have the basic file ingestion and storage set up, with a preliminary API endpoint for data retrieval.

@Tanmoy236

Good day! Building the backend for a construction-tech platform where every output can affect mission-critical project schedules requires scalable architecture, reliable processing, and strong observability from the start. I can work deeply within your Azure, Python, and SQL Server environment to design production-grade APIs and data pipelines that connect AI, computer vision, frontend systems, and downstream scheduling tools. My approach would cover ingestion and processing of large drawing sets, structured data extraction and XML exports, scalable database modelling for schedules, activities, and project metadata, plus secure API design and performance optimization. I can also support Azure infrastructure, CI/CD, monitoring, logging, and automated testing to ensure the platform remains reliable as new capabilities and workloads grow. I bring a backend-focused mindset to time-sensitive workflows, with emphasis on traceable processing, fault tolerance, clean relational design, and maintainable code. I’m ready to take ownership of the backend layer and help build a scalable foundation that supports your AI-driven platform as it expands.