Python Backend Developer

@Microlent

This looks straightforward at first, but in my experience there’s usually a key detail that can cause issues later. I’ve handled similar projects before and can outline a practical approach for you. For similar work and case studies, feel free to check my profile: https://www.freelancer.com/u/Microlent Let me know if you I'd like me to walk you through the plan. – Rajesh Rolen

@visionvivante

Hello, We are a backend development agency specializing in scalable Python systems, workflow automation, and enterprise integrations. Our team has strong experience with: Python, FastAPI/Flask REST APIs & async processing PostgreSQL & SQLAlchemy OAuth2/JWT authentication Microsoft Graph API, Teams & Slack integrations SLA engines, notification workflows, and escalation systems Docker-based deployments and monitoring We can help build a reliable, scalable backend platform with secure integrations, async email workflows, audit logging, and production-ready architecture. We’d be happy to discuss the project requirements and share relevant experience. Best regards, Vision

@diektech

Hi - Elias here from Miami. The real challenge in developing scalable backend services lies in ensuring that your workflow orchestration can handle a high volume of concurrent requests while maintaining performance and reliability. Many systems fail due to tight coupling between services and insufficient error handling, which leads to cascading failures under load. A common architectural mistake is neglecting to implement adequate API rate limiting and caching strategies. These can prevent bottlenecks and enhance responsiveness. Additionally, poorly designed database interactions can lead to significant performance degradation, especially with PostgreSQL when queries are not optimized for scale. I propose a microservices architecture using FastAPI or Django, focusing on clean separation of concerns. The implementation will follow an Input → Processing → Output flow, where each service independently handles its own domain while ensuring smooth inter-service communication through well-defined RESTful APIs. A critical decision is selecting the right orchestration strategy early on. Whether using a message broker or a more traditional synchronous approach can significantly impact the reliability and scalability of the system. What specific scalability concerns have you encountered so far? Looking forward to discussing this further.

@ZohaibRoy

⭐⭐⭐⭐⭐ Build Scalable Backend Services & Integrate APIs with Python ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for backend development and API integration. Look no further; Zohaib is here to help you! My team has successfully completed over 50 similar projects focused on backend systems and integrations. I will develop scalable services and ensure smooth API communication while providing additional support within your budget. ➡️ Why Me? I can easily handle your backend development and integration needs as I have 5 years of experience in Python, REST APIs, and database management. My expertise includes workflow design, OAuth2 authentication, and asynchronous programming. Additionally, I have a strong grip on Docker, Git, and logging concepts, which ensures a reliable approach to your project. ➡️ 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 ✅ FastAPI / Flask ✅ REST APIs ✅ PostgreSQL ✅ OAuth2 / JWT ✅ Async Programming ✅ JSON Processing ✅ Docker Basics ✅ Git ✅ Microsoft Graph API ✅ Teams API Integration ✅ Slack API Integration Waiting for your response! Best Regards, Zohaib

@gunslinger

Hello, your project caught my attention because it combines backend engineering, workflow automation, and API integrations rather than just building CRUD endpoints. I have experience developing REST APIs, integrating third party services, working with PostgreSQL databases, implementing authentication flows, and building scalable backend systems with python. I’m comfortable working with asynchronous processing, audit logging, docket based deployments, and designing reliable workflows with proper error handling and monitoring. The mcirosoft 365, teams, slack, and AI integration aspects are especially interesting, and I’d be glad to help build a maintainable and production ready solution. I communicate clearly, provide regular progress updates, and focus on writing clean, well documented code that is easy to extend. Kindly contact me for further discussion.

@opencollar

Hi, I see your project needs a backend that can handle big email workflows and integrate smoothly with Teams and Slack without fuss. I will build reliable APIs for email processing and set up secure OAuth2 connections, making sure everything runs smoothly and safely. I’ll set up smart workflows that can retry emails if they fail and keep track of SLA times, so nothing slips through the cracks. I will also connect your system with Microsoft Graph and Slack APIs easily, and design the database to be quick and efficient, adding logs to help you trace issues. Good communication, quality work, and saving your time are my priorities, along with supporting your system after launch. Let’s chat about how we can plan and turn this into something even bigger together. Regards, Nick.

@OutsourceMan

⭐⭐⭐⭐⭐ Project Proposal for Python Backend Developer Role Dear Valuable Client, CnELIndia team is excited to support your backend development needs for scalable services, workflow orchestration, SLA engines, and integrations with Microsoft 365, Teams, Slack, and AI classification. Our Approach: Design & develop Python-based REST APIs using FastAPI/Flask for email processing and secure integrations. Implement asynchronous workflows with retry/failure handling, SLA monitoring, and escalation logic. Integrate Microsoft Graph API (Outlook/Teams), Slack APIs via OAuth2/JWT. Manage PostgreSQL with SQLAlchemy, audit logging, and query optimization. Deploy using Docker, ensuring monitoring and stability. How CnELIndia Team Helps: Assign experienced Python/Django/FastAPI developers with Microsoft Graph and async expertise. Step 1: Requirement analysis & architecture design (Week 1). Step 2: Iterative development, testing, and integration (Weeks 2-6). Step 3: Deployment, optimization, and handover with documentation. Provide dedicated project manager for seamless collaboration and timely delivery. We ensure enterprise-grade, reliable solutions meeting all mandatory skills. Looking forward to partnering. (478 characters)

@vladang

This kind of system usually comes down to getting email ingestion, rules evaluation, and notifications to behave reliably under retries and API failures. I'd start with a FastAPI service exposing ingestion endpoints and Graph webhooks for Outlook 365, with OAuth2 handling for token refresh and secure storage. Incoming events would be normalized and pushed into a background worker queue so email processing, AI classification, and SLA evaluation don't block API responses. The SLA engine I'd keep as a lightweight rules layer over PostgreSQL, tracking deadlines, escalation states, and history logs. From there, separate workers handle Teams, Slack, and email notifications with retry policies and rate-limit awareness for Graph API. Main edge cases I'd design for are duplicate webhooks, expired tokens, partial failures in notification delivery, and ensuring idempotent processing across retries. One improvement I'd add early is strict event deduplication using a hashed event key so workflows stay stable under repeated webhook deliveries. Happy to start shaping the first iteration.

@Herculesz

Hi I can develop scalable Python backend services for email processing, workflow orchestration, SLA engines, API integrations, notifications, and escalation logic. The main technical challenge is keeping Microsoft 365 emails, Teams/Slack notifications, AI classification results, retries, failures, and SLA timers synchronized in a reliable enterprise workflow. My solution is to build an API-first backend using FastAPI or Flask, PostgreSQL, SQLAlchemy, OAuth2/JWT, async workers, structured JSON processing, and Docker-based deployment. I can integrate Microsoft Graph API for Outlook 365, connect Teams and Slack APIs, implement secure OAuth2 flows, and expose clean REST endpoints for internal and external systems. For orchestration, I can design asynchronous processing pipelines with retry handling, audit logging, escalation rules, SLA monitoring, and performance-optimized database queries. I can also collaborate with DevOps and AI teams to support monitoring, operational stability, and AI/LLM classification integration where needed. This will give you a reliable backend foundation for enterprise email workflows, notifications, compliance tracking, and future automation. Thanks, Hercules

@corpmember29

Hello, I have strong experience building scalable Python backend systems using FastAPI, Flask, PostgreSQL, OAuth2/JWT, async workflows, and REST APIs. I can develop SLA engines, notification workflows, email processing systems, and integrations with Microsoft Graph, Teams, Slack, and AI services using secure, API-first architecture. My expertise includes async processing, retry/failure handling, audit logging, Docker deployments, and workflow orchestration for enterprise-grade platforms. I focus on clean, scalable, well-documented code with strong debugging and operational reliability. Ready to start immediately and discuss the architecture in detail. THanks CHRISTINA

@offshore9006

Hello, We are a small but experienced backend development team specializing in scalable Python systems, workflow orchestration, enterprise integrations, and AI-enabled platforms. Your project aligns strongly with our expertise. We have hands-on experience building FastAPI/Flask backend services, async workflow engines, REST APIs, SLA-based automation systems, notification pipelines, and secure OAuth2/JWT integrations. We have also worked with PostgreSQL, Docker deployments, audit logging, background workers, and AI-driven processing systems. Our team can support: • Microsoft Graph / Outlook 365 integrations • Teams & Slack API integrations • Async email workflows with retries & escalation logic • SLA monitoring engines • Secure API-first backend architecture • Logging, monitoring, and operational stability • Dockerized deployment environments Suggested Team: • Senior Backend Architect • Python Backend Developer • Integration/API Engineer • QA & DevOps Support (part-time) Estimated Effort: • Architecture & DB Design – 20 hrs • Core Backend APIs – 60 hrs • Workflow/SLA Engine – 40 hrs • Microsoft/Slack/Teams Integrations – 35 hrs • Auth & Security – 15 hrs • Logging/Monitoring – 15 hrs • Testing & Deployment – 25 hrs Total Estimated: ~210 hours Budget: ~US$ 4,200 We focus on clean architecture, reliability, scalability, and long-term maintainability. Happy to discuss the workflow and technical approach further. Best regards

@topcreator100

Hi there, I'm excited to tackle the Python backend project and I’m confident I can deliver scalable services using Python, REST APIs, and asynchronous processing. I’ll design email processing workflows, SLA engines, and notification/ escalation systems with secure OAuth2 and robust logging. I have strong experience with PostgreSQL, Docker deployments, and integrating Microsoft Graph, Teams, and Slack APIs. As a next step, I propose a 2-week sprint for a core API and workflow prototype, and we can align on milestones. Best regards,

@koolvishruth

With my specialization in Python Development and Automation, I will be a perfect fit for your project. Over the past 7 years, I have successfully designed and developed scalable backend services using Python for diverse industries. I am well-versed in building REST APIs, implementing business rules, integrating with various APIs such as Microsoft Graph, Teams & Slack. My experience includes enabling OAuth2 authentication, orchestrating workflows, optimizing DB queries and ensuring secure API communication; all of which are key responsibilities mentioned in your project description. Let’s connect

@devendrathakur12

I've built almost this exact kind of backend recently — a FastAPI service processing Outlook 365 email via Microsoft Graph, with SLA engines, escalation workflows, and Teams/Slack notifications. For Graph email ingestion I use change notifications (webhooks) with subscription renewal rather than polling, so processing is near real-time and cheap, with delta queries as a fallback if a notification is missed. SLA and escalation logic runs through async background workers (Celery or arq) with retry and dead-letter handling, so a failed Teams or Slack call never silently drops an escalation. OAuth2 is handled with token caching and refresh, and every state change is audit-logged in PostgreSQL through SQLAlchemy for full traceability. I keep the code API-first and testable, with everything Docker Compose-ready for clean local-to-prod parity. I'll share past Graph and workflow-orchestration work with a short note on the stack for each. Happy to talk through the SLA and escalation design on a quick call. Best, Dev S.

@Feriver

Hello, I understand you’re looking for a Python backend developer to build scalable enterprise-grade services that handle workflow orchestration, SLA engines, email processing, and multi-platform integrations with Microsoft 365 (Graph API), Teams, and Slack, along with secure authentication, async processing, and production-ready deployment. The system also requires strong reliability, audit logging, and structured handling of notifications, retries, and escalation logic. I will design and develop a robust backend architecture using Python (FastAPI or Flask), focusing on clean API design, asynchronous processing pipelines, and modular service structure for workflow orchestration and SLA tracking. This includes integrating Microsoft Graph API, Teams, and Slack, implementing OAuth2/JWT security, building PostgreSQL-backed data models with efficient query design, and ensuring reliable background processing for email workflows, notifications, and escalation rules. I will also incorporate logging, monitoring readiness, and Docker-based deployment practices for scalability and maintainability. I can deliver a well-structured backend system that is production-ready, extensible, and easy to maintain, with clear documentation and collaboration-friendly code practices. I’m ready to align with your DevOps and AI teams to ensure smooth integration and deployment into your existing infrastructure. Thanks, Asif

@DeveloperStation

Hi there, We’ve built enterprise-level backend systems with Python and FastAPI, integrating Microsoft Graph and Slack APIs for seamless workflows. Our approach emphasizes strong foundational principles, ensuring we deliver robust solutions that evolve with your business needs. We also prioritize DevOps and CI/CD practices, so you get a fully optimized product, not just a working feature. Let’s schedule a quick 10-minute call to discuss your project in more detail and see if I’m the right fit for your needs. I’m eager to learn more about your exciting project. Best, Adil

@mithunsa

Hi, I can help develop the Python backend services for your platform, including REST APIs, workflow orchestration, notification systems, and integrations with Microsoft 365, Teams, and Slack. I have experience working with FastAPI, PostgreSQL, Docker, Linux environments, secure OAuth2/JWT authentication, async processing, and API integrations. I focus on building clean, scalable backend systems with reliable workflows, logging, and optimized database handling. For this project, I would structure the backend into modular services, implement secure API communication, and design stable async workflows with retry and failure handling mechanisms. Based on the integration and workflow complexity, I estimate around 2–3 weeks for a stable and properly tested implementation. MVP/core modules can be prioritized earlier if required. The scope looks quite extensive, so I’d be happy to discuss the project in phases or help prioritize MVP features first to ensure smooth delivery and long-term scalability. Looking forward to discussing the project further.

@teodorgeorge

Hello, I can help build the Python backend services you need, including FastAPI/Flask REST APIs, PostgreSQL data handling, OAuth2/JWT security, async workflows, SLA rules, retry logic, and notification flows. I have experience with API-first backend development, Docker-based environments, logging, and integrations like Microsoft Graph, Teams, Slack, and AI/LLM-powered classification services. I will focus on clean architecture, reliable workflow orchestration, strong error handling, and maintainable code that your DevOps and AI teams can easily work with. I am ready to begin immediately and would be happy to discuss the project in further detail. Thanks, Teo

@toriquldev123

Dear Client, Hello dear! I’m Md Toriqul Islam, and I’m excited to partner with you & I can dive into your project immediately. I have rich experience in Python backend development, FastAPI, REST APIs, workflow automation, and enterprise system integrations. I understand you need scalable backend services with asynchronous workflow orchestration, SLA engines, API integrations with Microsoft 365, Teams, Slack, and secure OAuth2/JWT-based communication. I have experience building API-first systems with PostgreSQL, Docker, background processing, notification workflows, and monitoring-ready architectures. I am skilled in Python, FastAPI, Flask, PostgreSQL, SQLAlchemy, OAuth2/JWT, Docker, async processing, API integrations, and enterprise backend development. I’m ready to start immediately and would be happy to discuss this project. Looking forward to hearing from you. Best regards, Md Toriqul Islam