Senior Python Developer Needed for High-Concurrency E-Commerce Automation Bot (Eldorado.gg API / Async Architecture)

@rizwange4

Hi, I can help implement this backend system in **Python with an asynchronous, queue-based architecture** rather than a basic scraping solution. I understand the key areas here: OAuth/token lifecycle management, persistent sessions, async workers, state-machine based order processing, priority handling, automated chat parsing, dynamic repricing, inventory logic, and proof logging. I’d structure the code into clear modules such as **Auth Manager, API Client, Priority Engine, Queue/Workers, Game Handlers, Chat Listener, and Proof Archive**, with Redis/Celery or an appropriate async queue depending on the existing architecture. I’ll also focus on reliable retries, token refresh, idempotency, error handling, and safe processing so orders don’t get duplicated or left in an inconsistent state. I’m comfortable working from an existing architecture/spec and implementing it cleanly without rebuilding the system unnecessarily. **Availability:** Immediate **Timeline:** Can provide a firm estimate after reviewing the architecture and API documentation. Best regards, Muhammad Rizwan LA

@PINESCRIPTERR

Hi, I can implement this as a modular asynchronous Python service with explicit state transitions, idempotent order handling, and durable recovery after worker or network failures. The structure would separate Auth Manager, typed API Client, token/session store, Priority Engine, queue workers, game strategies, chat listener, repricing service, inventory controls, and proof archive. I would use FastAPI with asyncio for API-facing components, Redis plus Celery or an equivalent durable queue for execution, PostgreSQL for transactional state, and encrypted secret management. Orders would move through validated states with optimistic locking, retry budgets, dead-letter handling, reconciliation jobs, and complete audit events. Repricing would enforce configurable floors, ceilings, cooldowns, stale-data checks, and a kill switch. Regex extraction would be paired with schema validation and a manual-review state for ambiguous buyer details. Implementation must use Eldorado’s authorised APIs and permitted automation flows. I would not bypass access controls, reverse-engineer private endpoints, or automate activity prohibited by the platform. Delivery would include tests, migrations, Docker setup, structured logging, metrics, and operational documentation. Relevant examples can be shared privately where client permissions allow. Regards, Houssame

@mahads31

As a seasoned Python developer who specializes in API development, I'm confident that I have the skills and experience necessary to successfully execute your project. My extensive knowledge of state machines, async architecture, queue-based handling, and API authentication flows aligns perfectly with your requirements. I've worked on similar high-concurrency projects before where I leveraged tools like Celery, Redis, and AsyncIO Queue for efficient task processing. Moreover, my proficiency in regex validation will ensure precise buyer detail extraction and parsing - a critical aspect for your automated buyer communication system. Additionally, I have vast experience with dynamic repricing strategies and inventory management in e-commerce settings. Using my expertise, I can help you build an algorithm that responds swiftly to competitor price shifts while maintaining safety limits. I understand the importance of security, proof archiving and clean separation of concerns for long-term business growth. This has led me to adopt modular structures in my previous projects too, exactly as you require. Finally, what sets me apart is not just my ability to code but also my strategic approach to delivering digital products; always keeping in mind how the technology would impact and grow the business over time. In closing, partnering with me is an investment for reliable delivery and a long-term professional relationship.

@dataspro

Nice to meet you , It is a pleasure to communicate with you. My name is Anthony Muñoz, I am the lead engineer for DSPro IT agency and I would like to offer you my professional services. I have more than 10 years of working as a Backend and Software developer, I have successfully completed numerous jobs similar to yours therefore, and after carefully reading the requirements of your project, I consider this job to be suitable to my area of knowledge and skills. I would love to work together to make this project a reality. I greatly appreciate the time provided and I remain pending for any questions or comments. Feel free to contact me. Greetings

@Web1devloper

With a robust understanding of data processing, Python architectures, and high-concurrency APIs, I am well equipped to tackle your complex project. My 8+ years of experience in data analytics and science have honed my ability to build efficient solutions that standout even under intense workloads. In_dataframe processing and order management are bread-and-butter to me. I have built numerous state machines with intricate priority engines that will no doubt dovetail into this project as you require. On top of this, my expertise in **Python asyncio, API authentication flows, queue-based order handling, OAuth2** ticks every relevant box on your requirement checklist. Whether managing concurrent requests for token acquisition or implementing automated retries with secure credential handling, these tasks fall well within my demonstrated capabilities. not only will I manage token acquisition with ease but will use dynamic token refreshing to ensure persistent seller sessions. Order processing will be handled using a strategy-pattern queueing system while keeping an eye on potential disputes by prioritizing oldest/at-risk orders and issue automated alerts as per instructions.

@MohsinCodeCraft

Hi, I can help you build this production-grade automated fulfillment and pricing engine with a clean, scalable backend architecture. I have experience with Python backend development, asynchronous systems, API integrations, authentication flows, queue-based processing, and building reliable automation platforms. I can implement the required modules including OAuth2/Cognito authentication management, token refresh handling, async worker queues, state-machine based order processing, priority scheduling, automated buyer communication, regex-based data extraction, dynamic repricing logic, and transaction logging for proof archiving. I’ll focus on a modular structure with clear separation between authentication, API clients, queue workers, game-specific handlers, chat listeners, and database layers to make the system maintainable and easy to extend. I can work with technologies like AsyncIO, Celery, Redis, PostgreSQL, and cloud-based deployment environments based on your requirements. Please feel free to message me to discuss the project further. I’d be happy to share samples of my previous work in the chat. Thanks and regards, Mohsin

@codeandcommand

I have done Redis and Docker setups like this before. For the async fulfillment side I would run Celery workers behind FastAPI with Redis as the broker, so order pickup and pricing updates never block each other under load. Can start today, working version in 5 days. Numbers here are based on the post, we will firm them up once we go through the actual order volume and edge cases. Want to jump on a quick call?

@shawanay

I can build this automation engine using async Python with secure API handling, queue based processing, and modular architecture. My approach: * Implement OAuth2 sessions, token refresh, and API integrations. * Build priority queues, state workflows, and automated order handling. * Add logging, retries, and proof archiving. Q: Do you already have the API documentation and architecture ready? Let's connect so we can start this good work. Regards

@rofeald

Hi, I can build the production-grade Python fulfillment and pricing engine with asynchronous processing, reliable API communication, and modular architecture designed for high-concurrency workloads. I’ll carefully review your existing architecture, Eldorado API specifications, authentication flow, state-machine rules, and queue requirements before implementing the system. My approach will include: Implementing OAuth2/Cognito authentication and token refresh Building a resilient API client with retries and error handling Creating priority-based asynchronous order processing Using Celery, Redis, or AsyncIO based on the architecture Implementing strategy-based game handlers Adding validated buyer data parsing and chat triggers Building configurable repricing and inventory logic Archiving transaction and delivery records securely Separating Auth, API, Queue, Game, and Chat components Containerizing the service with Docker for deployment I’ll focus on concurrency, reliability, clean separation of concerns, and predictable state transitions so the system remains maintainable as order volume grows. Once you share the existing architecture, API documentation, and business logic specifications, I can review the implementation points and begin development. Best regards, Rofeal

@Vinay7758

Hello, I am interested in helping you implement this production-grade automated fulfillment and pricing engine. I understand that this project requires more than simple scripting or scraping — it requires a proper asynchronous backend architecture, state management, secure API communication, and reliable queue-based processing. For this project, I can help implement: * OAuth2/Cognito authentication flow with secure token management and automatic refresh handling * Persistent seller session management with retry mechanisms and secure credential handling * Asynchronous order processing architecture using AsyncIO/Celery with Redis-based queues * Strategy-based worker system for handling multiple games and order execution flows * Priority engine to process orders based on urgency, age, and dispute risk * Automated buyer communication workflows with message parsing and Regex validation * Dynamic repricing engine with configurable pricing rules and inventory monitoring * Transaction proof archiving with detailed logs, timestamps, API payload history, and delivery records * Clean modular architecture separating authentication, API clients, queues, handlers, and listeners I would be happy to discuss your existing architecture and implement the backend components according to your designed workflows. Thank you.

@thiagofoz87

Your requirements describe a real backend automation platform rather than a simple bot, especially with concurrent order execution, OAuth/Cognito flows, dynamic repricing, queue prioritization, and dispute-proof logging. The critical part here is not only implementing API calls, but designing a resilient async architecture that remains stable under high order volume and frequent state transitions. I would structure the system with clear module boundaries: Auth Manager, API Client, Queue/Worker Engine, Game Strategy Handlers, Chat Listener, Pricing Engine, and Persistence Layer. For concurrency and reliability, I would use Python async patterns combined with Redis-backed queues or Celery depending on the operational model you prefer. The order lifecycle would be implemented as a state machine with retry policies, timeout handling, idempotency protection, and priority scoring to avoid stalled or disputed orders. For the repricing layer, I can implement configurable pricing rules, safety thresholds, competitor polling intervals, and event-based updates to minimize unnecessary API load. Buyer communication and validation would include regex-based parsing, structured validation rules, automated status flows, and audit-safe logging. The implementation would focus on maintainability and production readiness: modular codebase, structured logging, environment isolation, secure credential handling, and clear extensibility for future game handlers or fulfillment strategies.

@muhammadaqib53

Hi, I’m a senior Python developer with deep experience in asynchronous architectures, API authentication flows, and queue‑based order handling. I can implement your designed system quickly and cleanly, ensuring production‑grade reliability. Approach Auth & Sessions: OAuth2/Cognito token acquisition, secure credential handling, auto‑refresh, and retry logic. Order Engine: State machine + strategy‑pattern worker queues with Celery/Redis or AsyncIO for multi‑game routing. Priority Handling: Urgency scoring to process oldest/at‑risk orders first, preventing disputes. Buyer Communication: Regex‑validated detail extraction, automated chat listeners, and status updates. Dynamic Repricing: Competitor price polling with configurable safety limits. Proof Archiving: Transaction logs, API payloads, and delivery records stored securely. Strengths Proven track record building high‑concurrency e‑commerce bots and SaaS backends. Skilled at clean modular design (Auth Manager, API Client, Priority Queue, Game Handlers, Chat Listener). Focus on speed, reliability, and maintainability. I’m ready to dive in immediately and deliver a robust, production‑ready engine aligned with your architecture. Best regards,

@arturg6

Hello, "Async Priority Order Engine" - high‑concurrency fulfillment bot I will use Celery with Redis for reliable async task handling because it scales well and fits your priority queue design. I automated a similar backup system using Python, API calls and Docker: https://www.freelancer.com/projects/automation/Automate-Reolink-Video-Backup-Script/reviews Token refresh logic will run in a background thread to keep sessions alive without blocking order processing, and regex validation will be compiled once for speed. Which queue system (Celery or native AsyncIO) do you prefer, and can you share the exact OAuth token endpoint URLs? Looking forward to working with you. Artur Giżycki

@hakan1022

Hi, there. I recently developed a high-concurrency automation bot for an e-commerce platform that required robust order processing and dynamic pricing strategies, utilizing asynchronous Python architecture. In this project, I implemented OAuth2 for secure authentication and built a state machine for order processing that effectively prioritized tasks based on urgency. The main challenge was managing multiple concurrent requests while ensuring data integrity and responsiveness, which I addressed by using Redis for queue management and Celery for asynchronous task execution. This approach ensured that the system could handle high traffic without compromising performance. I offer to design and implement a production-grade automated fulfillment engine tailored to your specifications, focusing on efficient session management and a modular architecture. By leveraging asynchronous programming and a priority-based order processing system, I plan to ensure that your bot operates smoothly and effectively in a high-demand environment. If I use my previous experience, your project will likely be completed successfully. Hope to discuss this in detail. Through detailed discussion, I think I can find a better solution to finish your project successfully. Thank you.

@winston052790

Hello, How are you? I am writing to express my interest in the Senior Python Developer position for the High-Concurrency E-Commerce Automation Bot at Eldorado.gg. With my expertise in Java, Python, software architecture, Google App Engine, Order Processing, Redis, Docker, API development, and Celery, I am confident in my ability to contribute to the successful implementation of the automated fulfillment and pricing engine. I have a strong understanding of asynchronous Python architecture, state machines, API authentication flows, and queue-based order handling, making me well-equipped to tackle the core system requirements and scope outlined in the job details. Thank you. Sincerely, Winston

@MuhammadAkif8

Hi, I have extensive experience building scalable Python backend systems, API integrations, workflow automation, and asynchronous architectures. Your project aligns well with my expertise in designing reliable, production-ready automation with clean, modular code. I can implement a maintainable architecture with separate modules for authentication, API client, order processing, priority queue, chat automation, repricing, and proof archiving. I'm comfortable working with OAuth2 authentication, asynchronous task processing (AsyncIO/Celery + Redis), state-machine based workflows, retry mechanisms, regex validation, secure credential management, and detailed logging. I'm available to start immediately and can work closely with your existing architecture and specifications to deliver a reliable implementation quickly. Availability: 40+ hours/week Hourly Rate: $10/hour I would be happy to discuss the architecture in detail and begin implementation right away. Regards, AKif A

@gianmput15

❤️❤️❤️Hi, I respect your benefit and do my best!❤️❤️❤️ ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ ✔ Expert implementation of high-concurrency e-commerce automation bot using Python and async architecture. ✔ OAuth2/Cognito-based token acquisition and persistent seller sessions with dynamic token refreshing. ✔ State machine-based order processing with priority engine and queue management (e.g., Celery, Redis, or AsyncIO Queue). ✔ Automated buyer communication and regex validation with chat listeners and triggers for incoming orders. ✔ Dynamic repricing and inventory management with listing data polling/streaming and competitor price shifts within configurable safety limits. ✔ Proof archiving and security with transaction timestamps, API payloads, and delivery logs to a local/cloud database. ✔ Clean separation of concerns with modular structure (Auth Manager, API Client, Priority Queue, Game Handlers, Chat Listener). I have extensive experience in building scalable, high-performance e-commerce automation bots using Python and async architecture. I will deliver a robust, production-grade solution that meets your requirements and exceeds your expectations. Do you have any specific requirements or constraints for the queue management system (e.g., Celery, Redis, or AsyncIO Queue)? Best regards.

@viktorh29

Hi, I have experience building Python backend systems with async architecture, API integrations, background workers, and automation workflows. I can help implement a scalable fulfillment engine with token management, queue-based processing, state-driven order handling, repricing logic, and reliable logging. Let's discuss your existing architecture, API details, and implementation priorities in chat.

@manuels230

I can implement this production-grade fulfillment and pricing engine with a focus on asynchronous architecture, reliable order processing, and maintainable backend design. I have experience building Python backend systems, API integrations, queue-based processing, automation workflows, and scalable service architectures. I understand this requires more than simple scraping — the core challenges are authentication flows, state management, worker orchestration, and reliable transaction handling. I can develop: * OAuth2/Cognito authentication with secure token refresh and session handling * Async worker architecture using AsyncIO/Celery with Redis queues * Strategy-based order routing for different game/item handlers * Priority scheduling logic to process urgent orders first * Automated chat processing with validation and regex-based data extraction * Dynamic repricing and inventory synchronization logic * Transaction logging, proof archiving, and structured database storage I focus on clean modular architecture with separated components for authentication, API clients, queue management, game handlers, and communication services. I can also containerize the system with Docker and prepare it for reliable deployment. I would like to review the existing architecture, API documentation, authentication flow details, and order lifecycle rules to align the implementation with your designed system.