On-Site Algo Trading Engineer -- 3

@prashanpatel557

Hello, I understand that this position requires an on-site engineer in Sunder Vihar, West Delhi. While I am based remotely in gujarat, I would be interested in supporting your trading infrastructure remotely if you are open to a remote assistance arrangement. I have experience with: - Python-based algorithmic trading systems - Zerodha, Upstox and other broker/API integrations - Real-time market data and WebSocket monitoring - AWS/VPS deployment and server management - Multi-user trading systems and automated execution - Error handling, logging, restart mechanisms and monitoring - Strategy testing and validation before live deployment I can assist with remote monitoring, troubleshooting API/token issues, debugging failed Python processes, reviewing logs, maintaining AWS infrastructure, and supporting your development team during market hours. I understand the importance of reliability in live trading environments, where silent failures, API disconnections, and execution issues require immediate attention. If you are interested in a skilled remote engineer to complement your on-site infrastructure and provide technical support, monitoring, troubleshooting, and system improvements, I would be happy to discuss a suitable working arrangement.

@Algokage

Hello, I hope you're doing well. I am an experienced systems engineer with a strong background in Python and AWS administration, and I have worked in a trading environment where the consequences of a mis-priced fill or silent algo are very real. I understand the importance of keeping multiple Python algos, broker APIs, and twin infrastructures running smoothly during the Indian market session. My daily tasks include launching and verifying Python scripts, confirming token validity, and ensuring cloud mirror synchronization for seamless failover. I am skilled in hands-on Python work with broker APIs, practical AWS and bare-metal server administration, and I have a deep understanding of the trading environment's intricacies. My typical daily deliverables include green-checking all algos before the opening bell, running continuous monitoring dashboards locally and in AWS, providing immediate recovery and detailed logs for any script or connection failures, and performing end-of-day backups of code, logs, and execution reports. I am ready to keep the bots trading and the risk contained. I deliver clean, well-documented code, and I am happy to share relevant samples or a quick demo if you need further assurance. If you have any questions or would like to discuss the project further, please send a message. Thanks, Adegoke M.

@Sahyadri96

Completed projects till now 1) Python + DhanAPI +Excel + VBA option scalping strategy 2) Python 21 EMA and 9 EMA crossover strategy on DhanAPI 3) Google sheet + FyersAPI trading 4) Google sheet + Algomojo + Upstox 5) Tradetron Banknifty option scalping strategy 6) Excel 2600 NSE 10 years data 7) Copytrading using python 8) Tradetron Supertrend + MACD Crossover Strategy 9) Dhan option chain with Greeks in Google spreadsheet via Google Appscript 10) Backtesting of Nifty options for wait and trade strategy 11) Trigger orders for Dhan Nifty options 12) Shoonya API:- Wait and trade strategy 13) Tradetron: RSI + ADX + EMA strategy 14) Python Moving avarage channel trading Algo 15) Kotak Neo: Turtle scalping strategy for options 16) Fyers Filtered option chain in Excel 17) Binance Bitcoin tradingview strategy python bot 18) Fyers Tradingview python bot 19) Dhan Python order manager 20) Dhan Option Hedging bot 21) Tradingview: Pune script for Pivot table script I can deliver any project in Trading. Readymade setups for Python available

@avirala8

Hi, I’m a systems-minded Python developer with experience in Python automation, API integrations, AWS EC2, Linux/server environments, and production monitoring. I can help keep your trading infrastructure stable and operational throughout the Indian market session. I can handle: • Launching and verifying Python algos before market open • Checking broker API connectivity, tokens, and authentication • Monitoring order flow, positions, P&L, latency, and system health • Troubleshooting API disconnections and failed scripts • Restarting and recovering services quickly when issues occur • Monitoring local/bare-metal and AWS EC2 infrastructure • Checking cloud synchronization and failover readiness • Testing modified/new algos before production deployment • Maintaining detailed incident and recovery logs • Backing up code, logs, and execution reports daily I understand that automated trading requires high availability, fast recovery, careful monitoring, and disciplined operational procedures, as technical failures can have real financial consequences. I’m available for the required 8:45 AM–3:45 PM, Monday–Friday on-site schedule and can work closely with your existing infrastructure and emergency procedures. I’d be happy to discuss your broker APIs, server setup, AWS architecture, monitoring tools, and current workflow. Looking forward to working with you.

@parvatiandsons2

We can provide immediate on-site coverage in West Delhi to ensure stable live trading performance. Our team will handle real-time incident resolution and bridge the operational gap between your local rack and AWS EC2 infrastructure to maintain continuous uptime. - Daily on-site monitoring and instant incident recovery during active trading hours. - Integrated management of hybrid local/cloud infrastructure. - High-availability deployment strategies to minimize latency and downtime. 1. What specific broker APIs (e.g., Zerodha, Angel One) are currently being utilized in the local and AWS environments? 2. What are the current primary monitoring platforms or dashboarding solutions (e.g., Grafana, custom web UI)? Thanks & Regards, Team Parvati And Sons (Powered by PRASIT — our own Agentic AI tool)

@abhilashr53

You need a battle-tested engineer physically present at your Sunder Vihar desk every market day, someone who treats 9:15 AM as a hard deadline and understands that a silent algo or dropped broker socket is not an IT inconvenience but a direct financial loss. Here is how I approach the role. Each morning I run a structured pre-market checklist: script health, token refresh across all broker APIs, local-to-EC2 sync confirmation, and dashboard verification before the opening bell. During live hours I watch latency, order flow, and P&L continuously, with documented runbooks so any failure triggers a practiced recovery, not improvisation. End-of-day I commit logs, execution reports, and code snapshots to version control before shutdown. My relevant background covers Python broker API integration, AWS EC2 administration including failover configurations, and hands-on work in live trading environments where I have personally handled mid-session disconnections and silent fill anomalies under real money conditions. I keep clean incident logs, so your recovery path is always reproducible and auditable. I can be on-site consistently and treat your infrastructure with the seriousness a live desk demands. One question before we speak: are both your local and EC2 environments currently on identical Python environments and dependency versions, or is environment drift something we would need to resolve in the first week?

@kapendras

Hi, I’m interested in this role because my background aligns well with Python, data/automation workflows, AWS EC2, API integration, server monitoring, and troubleshooting. I understand that in an automated trading environment, reliability, fast recovery, accurate monitoring, and proper documentation are critical. I can handle daily startup checks of Python scripts, verify API/token connectivity, monitor local and AWS infrastructure, investigate failed processes or API disconnections, restart services when required, and maintain clear recovery logs. I’m also comfortable working with Linux/server environments, Python, AWS EC2, Git/GitHub, and debugging application issues. I understand the importance of monitoring order flow, positions, P&L, latency, logs, and system health during live market hours. I can also test modified or new algorithms in a controlled environment before deployment and help maintain backups of code, logs, and execution reports. I’m available for a full-time on-site role Monday–Friday and can work during the complete Indian market session. I’m a systems-minded person who focuses on keeping automation stable and minimizing downtime. I’d be happy to discuss the setup, broker APIs, infrastructure, and monitoring workflow with you.

@sahna7

I am a quick learner, hardworking, and adaptable person with a strong interest in technology and continuous learning. I have a background in Computer Science and have developed skills in Python, MySQL, DBMS, HTML, CSS, React.js, Node.js, and MongoDB. I am eager to apply my knowledge in a practical environment, learn from experienced professionals, and contribute positively to the organization. I am responsible, dedicated, and willing to take on new challenges.

@priyam804

Hello, I’m interested in supporting your automated trading infrastructure and keeping the Python algo and broker-API environment stable throughout the Indian market session. I can assist with: * Starting and verifying Python scripts before market opening * Monitoring running processes, APIs, positions, P&L and system status * Checking API/token connectivity and handling disconnections * Troubleshooting failed scripts and restarting services when required * Monitoring local and AWS EC2 infrastructure * Maintaining clear incident and recovery logs * Performing end-of-day backups of code, logs and execution reports * Testing modifications in a controlled environment before deployment I understand that reliability is especially important in an automated trading environment, where a small technical issue can have financial consequences. I would follow your existing emergency-stop, failover and recovery procedures carefully rather than making untested changes during live trading. I’m available to discuss the on-site Monday–Friday requirement and can start after understanding your current infrastructure, broker APIs, monitoring setup and SOPs. Thank you.

@arvindk557

Hi, I can definitely handle this role. I’m based in Delhi, which makes me well suited for providing reliable, hands-on support during the full Indian market session. I have strong practical experience with Python, algorithmic trading, broker APIs, live trading operations, debugging, and system monitoring. I have worked with automated trading systems across Forex, Options, Futures, and Stocks, including order execution, position monitoring, P&L tracking, API connectivity, risk management, and troubleshooting live systems. I can manage your complete daily workflow—from launching and sanity-checking strategies before market open to monitoring them throughout the session, handling API/token failures, restarting stuck processes, maintaining logs, backups, EC2/local environments, and keeping a hot-spare system ready. I’m also comfortable making quick Python changes such as symbol updates, timing modifications, and additional risk checks. I will validate changes through paper testing before moving anything into live trading. I understand the importance of the emergency kill switch and immediate escalation when an algo behaves unexpectedly. For this ongoing hands-on support, my expected charge is ₹80,000 per month. I’m ready to discuss your current setup and start immediately.

@Ahsan2002rehmani

Hello, I am a Full-Stack Developer with hands-on experience in Python, APIs, AWS, server-side applications, and database systems. I understand that this role requires reliable monitoring and quick recovery because even a small API failure or stopped process can affect live trading. I can help with: • Daily startup and health checks of Python trading algorithms • Broker API connectivity and token validation • Monitoring order flow, positions, P&L and system performance • Troubleshooting API disconnections and failed Python processes • AWS EC2 and local server monitoring • Backup and synchronization between local and AWS infrastructure • Testing updated or new algorithms before deployment • Maintaining clear logs and recovery documentation • End-of-day backups of code, logs and execution reports I am comfortable working with Python, REST APIs, AWS, MongoDB, Linux/server environments, and troubleshooting production applications. I understand that stability, fast response, proper logging, and careful testing are critical in a live trading environment. I am available for the required Monday–Friday schedule and can work as a reliable technical person responsible for keeping the infrastructure and trading systems running smoothly throughout the market session. I would be happy to discuss your current setup, broker APIs, AWS architecture, and daily monitoring workflow. Best regards, Full-Stack Web & App Developer

@nabeeli18

Greetings I understand you're seeking an on-site Algo Trading Engineer to ensure your automated trading systems operate seamlessly during market hours. We have successfully completed similar projects in the past. Your goal is to maintain uninterrupted trading operations, monitor performance, and swiftly address any issues that arise. I can ensure that your Python scripts and broker APIs run smoothly, while also managing your infrastructure effectively. I bring extensive experience in Python development, broker API integrations, and AWS management, gained from years in high-stakes trading environments. My proactive approach ensures minimal downtime and efficient recovery processes. I would love to chat about your project further. I suggest a follow-up discussion to explore how I can contribute to your trading desk's success. Regards, Nabeel Ismail

@Lenard007

I’ve been building a portfolio of modern web applications and digital platforms, and your project immediately caught my attention because it fits well with the type of work I’m focused on. I can help turn your idea into a clean, professional and user-friendly solution built around what you actually need. I noticed you mentioned the importance of hands-on Python work with broker APIs and continuous monitoring during trading hours. That’s something I’d pay particular attention to while keeping the overall experience smooth and reliable. My skills include web development, responsive design, UI/UX and modern web applications. You can view examples of my work at lenard007.com. I’d be happy to discuss your idea before anything is decided. Send me a message and we can see if I’m the right fit for your project. Regards, Lenard007

@akhil1intellico

Hi, I’m Akhil Sharma, and I’d be interested in supporting your on-site algo trading infrastructure as a systems-focused engineer. I understand this role requires reliability, fast troubleshooting, and disciplined monitoring rather than developing new trading strategies. I can assist with: Python algo and broker API monitoring API/token validation and connection troubleshooting AWS EC2 and local server administration Pre-market startup and health checks Live monitoring of orders, positions, P&L and system status Restarting failed scripts and handling disconnections Local ↔ AWS failover readiness Testing algo/code changes before deployment Log management, backups and execution reports Clear incident and recovery documentation I’m comfortable working in a time-sensitive environment where system availability and operational accuracy are critical. My approach would be to follow a structured pre-market checklist, continuous session monitoring, immediate incident response, and end-of-day verification/backup process. I’m also comfortable with the 8:45 AM–3:45 PM, Monday–Friday on-site requirement in Sunder Vihar, West Delhi. I’d be happy to discuss your current Python/broker setup, AWS architecture, monitoring process and the responsibilities required during live market hours.