On-Site Algo Maintanance Engineer

I run a suite of Python-based automated strategies from my home office in Sunder Vihar, West Delhi and need reliable, hands-on cover every trading day. From 8:45 AM until the Indian market closes at roughly 3:45 PM you will sit next to the live systems, powering them up, keeping them healthy and intervening the moment anything drifts off script. The workflow begins with launching and sanity-checking every algo, then linking them to the required broker APIs—ICICI Direct, Angel Broking, TradeTron and Define Edge—before the opening bell. Throughout the session you track orders, positions and real-time P&L, watch for API token drops, restart any hung processes and keep detailed logs. Our stack runs partly on an AWS EC2 instance and partly on a local laptop, so both environments must stay synchronised, patched and backed up, with a second “hot spare” machine ready to take over if the primary stalls. Small code tweaks are common: a changed symbol, a timing adjustment, maybe an extra risk check. You should be comfortable editing and testing these Python snippets quickly, validating them on paper trades first and only then pushing them live. I also rely on you to maintain the emergency kill switch and to ping me the moment an algo behaves oddly so we can decide whether to pause, tweak or terminate it. By day’s end I expect three tangible outputs: • A clean run of every strategy with reconciled fills and P&L • Updated logs and backup archives on both EC2 and local storage • A brief summary note highlighting any incidents, fixes or code changes If you thrive on meticulous operational work, know Python well enough to ensure you make them run uniterepted with most minimal down time