ftmo · Prague office
Skills: TypeScript, Python, SQL, Docker, CI/CD, Accessibility
As part of the CandleKeeper Team at FTMO, you'll be responsible for the entire application lifecycle - analysis, implementation, maintenance and operation. You'd also take part in on-call and actively monitor and take care of issues. The CandleKeeper team builds with AI coding agents: you write the spec, direct the agent, then review and test what it produces. Strict typing (Mypy), Ruff, multi-level tests and CI checks are the guardrails that keep generated code safe in production. WHAT’S IN STORE FOR YOU? The team is primarily building and maintaining systems for the integration of 3rd party Trading Platforms: - Monitoring of trading accounts - System tracks the record of client accounts, their trading activity, and evaluates whether they are abiding by FTMO trading rules - Data is ingested from the platforms and sent through multiple applications using Kafka as a messaging broker. - Trading platform API bridge - System that manages client accounts on the trading platform - Basic CRUD operations, and in the future will help with making changes to trading platform configuration - we have a lot of servers, and we need to keep the configuration unified across them - Monitoring of historical symbol/security/instrument configuration - Monitoring of trading activity - System tracks activity (read counts of messages) generated by our clients, and when they get over thresholds, it sends messages to trigger actions - preventing hyperactive / runaway algos from overloading our systems - Custom integrations into platforms - We have our own internal C++ plugins for some platforms. These plugins provide custom logic for our apps, for example, providing real-time data for our monitoring of trading accounts, or providing APIs for the trading platform bridge TECH STACK - Python 3.14 with a lot of asyncio and mandatory typing - Kafka for near real-time event processing - FastAPI with async endpoints and fully typed arguments for a clean OpenAPI schema - TimescaleDB for storing trad…
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