Senior Python Dev for Binance Platform

@gunslinger

Hi, This is exactly the type of work I specialize in. I have 10+ years of experience with Python, Linux, APIs, multi process systems, and production troubleshooting. I don’t do blind fixes. I start with root cause analysis, validate runtime behavior, trace execution flows, and identify why issues occur before changing production code. The LIVE vs DEMO inconsistencies, WebSocket reliability, sync issues, and resource usage concerns you listed are all areas I’ve handled before. I can begin with a full audit and deliver a root cause report, risk assessment, and prioritized implementation plan. Kindly contact me for further discussion.

@vladang

A multi-instance Binance spot system with LIVE/DEMO inconsistencies and intermittent inactivity usually points to state drift between processes rather than isolated bugs, so I’d start by auditing how each instance maintains trading state and how WebSocket feeds are consumed across ports. First step would be reproducing the behavior under controlled load, then tracing order flow end-to-end from market data → signal → execution → persistence. I’d inspect the Convert fallback path specifically, since those often silently fail without proper exception bubbling. In parallel, I’d review process supervision on Ubuntu and SQLite locking patterns, because 30+ instances can easily create contention or stale reads. Once the failure points are mapped, I’d add structured logging around decision points and compare LIVE vs DEMO divergence. I’d also check memory growth patterns to explain the random pauses. In a similar backend-heavy system I worked on (Python, multi-process services at Aras), most instability came from unhandled race conditions and weak state sync. Before touching code, I’d back up everything and deliver a clear root-cause report with a safe step-by-step remediation plan and estimates.

@PINESCRIPTERR

Hi, your project "Senior Python Dev for Binance Platform" is clear, and I can take care of the implementation. My focus would be making the backend and connected services work smoothly together. The listed skills point to Python Linux Software Architecture Debugging Software Development Ubuntu SQLite Flask API Development System Administration, so I would keep the implementation aligned with that. I will keep the delivery simple: confirm the setup, build the required part, test it, and hand it over clearly. Quick infrastructure questions: - Should the solution be optimized for future scaling, easier maintenance, or a simple handover? - What source systems, output fields, and validation rules should the automation or data flow follow? - Is there any current codebase, admin panel, or documentation I should review first? Regards, Houssame

@toriquldev123

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@mobimubasir

Hello there, I can audit your Binance Spot trading platform across Python WebSockets, Flask dashboards, SQLite databases, Linux services, multi-instance ports, and LIVE/DEMO mode consistency before making any code changes. I’ll start with backups, root-cause analysis, risk assessment, and a clear implementation plan covering Convert fallback logic, pauses, dashboard sync, recovery paths, resource usage, and trade execution stability.

@talkwaqar

Your brief is clear that you want root cause analysis before any code, plus a backup before every change. The two issues I'd profile first are the LIVE vs DEMO mode inconsistency and the random pauses, since both usually trace back to shared state or a blocking call across your 30+ instances. Here's how I'd run the initial audit: 1. Map the multi-instance layout (ports, subaccounts, WebSocket feeds) and snapshot each SQLite DB before touching anything. 2. Trace the trading-mode flag and Convert fallback path to find where LIVE/DEMO state diverges. 3. Profile CPU, memory, and the WebSocket reconnect logic to catch the source of the random pauses and dashboard sync lag. I run production debugging on multi-process systems daily; I led engineering for a platform serving 1.5M+ users where silent stalls and recovery paths were the whole game. Done = a written audit with root cause findings, a risk assessment, and a phased implementation plan, delivered in 7 days for $22. Should the audit cover all eight issues you listed, or do you want me to prioritize trade execution consistency and the random pauses first? P.S. With 30+ instances on SQLite, intermittent pauses are often "database is locked" under concurrent writes. I'd check WAL mode and per-instance file separation early. Waqar

@krupnovdenis

Hello! We can help audit and stabilize your Binance trading platform for these tasks. 1. Are you open to working with an external contractor or team for these tasks? 2. Which issues should be investigated first in the current system? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@loxtic

Hi, how are you doing? I have considerable experience with Python-based trading systems, Binance API, WebSocket data handling, and multi-instance setups on Linux, plus debugging production environments and performance tuning. I’ve worked on similar multi-port, multi-account scenarios and can start with a concise audit, root-cause analysis, and a practical implementation plan, focusing on reliability and clear change reporting. Let me know further if interested.

@Algokage

Hello, I can deliver efficiently based on your specific needs, directly addressing the challenges you've outlined. I will audit the existing codebase, conduct a root cause analysis, assess risks, and propose an implementation plan with time and budget estimates. My approach will focus on resolving the current issues, ensuring trading mode consistency, optimizing error handling, addressing random pauses, and enhancing dashboard synchronization. With 5+ years of experience in Python development, I am well-equipped to handle the required skills, including advanced Python, Binance API, WebSocket architecture, Linux server administration, and performance optimization. I will ensure a production-safe development approach, conducting root cause analysis before coding, backing up data before modifications, and providing detailed reports. I am confident in my ability to deliver a robust and efficient solution. Please send a message to request samples of similar projects or a quick demo, or to discuss further if specific requirements are not yet clear. Thanks, Adegoke. M

@craigd43

Drawing from my extensive experience in Python, I have a wealth of knowledge when it comes to troubleshooting complex systems and identifying the root causes of issues. My vast exposure to web scraping and full-stack web development allows me to bring a broad perspective to this role, recognizing not only the design optimization possibilities but also ensuring they align with efficient, scalable architecture. Moreover, I've had hands-on experience with SQLite databases which is an integral element of your project. This enables me to effectively navigate through and resolve any troubleshooting issues related to your databases. Additionally, my commitment to delivering high-quality code within stipulated deadlines guarantees I will provide you with meticulous and thorough reports of all changes made during the process. Lastly, while I may not have a direct experience with the Binance platforms like the one you are using for your project, my strong application of "no quick fixes without investigation" philosophy ensures I would approach every task as outlined in your initial task description. Working with me means you can expect expert debugging skill for your present Python environment and the tenacity to make it even better through performance optimization and strategic approach that values backup storage highly. Together, let's transform the Binance spot trading system operability into defeaturing excellence!

@AndrewJSMAN

I’ve built and operated multi-instance Binance Spot trading systems before, so this is right in my wheelhouse. My approach: audit the current stack—Python, Binance Spot API, WebSocket streams, Flask dashboards, SQLite, and 30+ ports on Ubuntu VPS—by isolating each instance, logging all WebSocket/REST traffic, and profiling CPU/memory under load. I’ll compare LIVE vs DEMO modes, trace the Convert fallback logic paths, and stress-test error recovery and synchronization between dashboard refreshes. Risk assessment will include backup snapshots before any code change, with detailed diffs and rollback steps documented at each stage. I can start immediately.

@carlosd178

Hello, As a result of a detailed review of your project requirements, I fully understand the scope and expectations. I have experience maintaining Python-based trading systems, Binance API integrations, WebSocket market data flows, and Linux production environments, and I'm available to start your project right now. I bring deep expertise in Python, Binance Spot API, WebSocket architecture, Flask, SQLite, Linux/Ubuntu server administration, debugging, multi-process applications, and production system optimization. One of the key challenges in projects like this is identifying the real cause of inactive trading behavior, dashboard sync issues, LIVE/DEMO mode inconsistency, and execution instability across 30+ running instances without introducing risky quick fixes. My first step would be to back up the codebase and databases, review service logs, instance configs, WebSocket handling, database access patterns, and recovery logic, then provide a clear root cause analysis, risk assessment, implementation plan, and estimate before making changes. I have a couple of quick questions. • Are the 30+ instances managed through systemd, supervisor, Docker, or custom scripts? • Do you already have centralized logs for trade execution, WebSocket disconnects, and Binance API errors? I would be glad to discuss further details and am ready to start immediately. Looking forward to hearing from you. Best regards, Carlos.

@miguelcen64

Hello, I am an experienced Python developer with strong experience in production debugging, API integrations, WebSocket systems, Linux VPS environments, Flask dashboards, SQLite, and multi-process applications. I can help audit your Binance Spot trading platform carefully before making any code changes. My first step would be to review the architecture, running services, trading modes, logs, database behavior, WebSocket handling, Convert fallback logic, and dashboard synchronization. I will identify the root causes of pauses, inconsistent execution, LIVE/DEMO mode issues, and performance bottlenecks. I always follow a production-safe approach: full backup first, no quick fixes, clear risk assessment, documented findings, and a step-by-step implementation plan with time and budget estimates. I am also available for long-term maintenance and improvements.

@fizaa170

The issues you've listed suggest the need for a proper system audit rather than immediate code changes. In a multi-instance trading environment, symptoms like execution inconsistencies, inactive behavior, and dashboard sync problems are often caused by deeper architectural or process issues. My approach would be: • Review the trading engine, instance management, and configuration structure. • Audit LIVE vs DEMO execution paths. • Analyze Binance API and WebSocket handling, including reconnect and recovery logic. • Investigate Convert fallback behavior and error-handling workflows. • Review dashboard synchronization and database interactions. • Profile CPU, memory, and process performance across all running instances. • Verify logging, monitoring, and service recovery mechanisms. • Create backups before any modifications. Initial deliverables: • Root cause analysis report. • Risk assessment. • Prioritized implementation plan. • Time and budget estimate for fixes. • Recommendations for long-term stability and monitoring. One important question: Are all 30+ instances running from the same codebase and configuration template, or have individual instances been modified separately over time?

@omera1

Hi, I have more then 8 years experience in software development life cycle especially in Python, if you like you can discus with me in private message I start work asap.

@Lazarone1

Hi, I have strong experience with Python, Binance Spot API, WebSockets, Flask, Linux VPS administration, and debugging production trading systems. My approach is always audit first, code second. I can review the codebase, identify root causes behind the LIVE/DEMO inconsistencies, execution issues, dashboard sync problems, and performance bottlenecks, then provide a clear risk assessment, implementation plan, timeline, and cost estimate before any changes are made.

@ammarahmed20

Seasoned with 6+ years in software development and an extensive skill set from AI coding to Linux server administration, I'm Ammar Ahmed, a Python whiz who loves solving complex system puzzles. You need a meticulous coder who thoroughly analyses every situation before jumping into development, someone who appreciates the need for backup before modification, and provides detailed reports of all changes. That’s me! My code contributions aren't just quick-fixes but thought-out solutions. I assure you I will not only investigate each of your queries about the current system's trading mode consistency, Binance convert fallback logic, error handling or recovery paths but also provide a precise root cause analysis along with a thorough implementation plan and risk assessment. Moreover, my experience in building robust AI-based systems, maintaining SaaS products and managing large multi-process instances will be invaluable to your Binance platform project. Let's work together to optimize the CPU & memory load for better performance, enhance your dashboards' synchronization efficiency and beef up service monitoring for impeccable stability. My productive collaboration style and long-term commitment make me the ideal partner for your project. If you value strategic problem-solving, savings on time and increased revenue look no further. Choose me today!

@jordanrafael7

Hi. Building a reliable spot trading system on Binance requires solid backend foundations and stable infrastructure to handle real-time data and order execution. I work with Python for backend automation and data workflows, and have hands-on experience with Linux system administration to keep services running smoothly. I've used SQLite for lightweight data storage in production environments where quick queries and minimal overhead matter. These skills align directly with the requirements for your Binance platform, especially when managing trade logs, order states, and configuration data under a Linux environment. Here's how I'd approach this: - Review your current codebase and environment setup to understand the trading logic and identify any stability or performance issues. - Implement clean data handling and storage routines using SQLite to track trades and system state efficiently. - Test the system end-to-end in a staging environment to ensure order execution behaves correctly under different market conditions. Are you using Binance's REST API, WebSocket streams, or both for real-time market data and order placement? I'm ready to start right away and can discuss technical details and next steps through Freelancer messages. Best regards, Jordan Rafael G.

@Kashifscode

Hello! I understand you need a senior Python developer to audit and stabilize a production Binance Spot trading platform with multiple live instances, where the priority is identifying root causes behind execution inconsistencies, service instability, synchronization issues, and performance bottlenecks before any code changes are made. The key technical challenge is tracing behavior across WebSocket streams, Binance API interactions, multi-process services, SQLite persistence, and Flask dashboards to distinguish systemic architecture issues from isolated bugs while protecting live trading operations. I have experience working with Python-based trading systems, exchange APIs, Linux-hosted services, asynchronous/WebSocket architectures, and production debugging where investigation, logging, and risk assessment come before implementation. My approach would be to perform a structured audit of the codebase and runtime environment, map execution flows, review LIVE/DEMO mode handling, analyze recovery paths and monitoring gaps, evaluate resource utilization and synchronization mechanisms, then deliver a root cause report, risk assessment, and prioritized remediation plan before proceeding with any production changes. I’d be glad to discuss the current architecture and audit scope in more detail.