Hiring: Python + DevOps Engineer for Trading Infrastructure Setup (IBKR / DigitalOcean) Project Overview This is an algorithmic trading infrastructure built for futures and FX markets using Interactive Brokers (IBKR). The architecture is already fully documented — the new engineer will implement the initial network setup from scratch following a clear written plan (no guessing, no design work required). The system uses multiple DigitalOcean droplets connected via secure HTTPS APIs: a Global Hub (controller), Code servers (source of truth), and Execution nodes (strategy runners). Each server includes local and global kill-switch endpoints for instant, network-wide trading shutdown. Scope of Work Set up and verify the entire Richstar droplet network as described in the provided setup document. Tasks - Deploy and configure droplets: Global Hub, Code-Test, Code-Live, and one Paper Execution node. - Install and configure: - IBKR Client Portal Gateway (headless, under systemd with auto-restart). - Python trading bridge (FastAPI or Flask) with /health and /kill endpoints. - Watchdog process for auto-restarts. - Network and Security: - Configure UFW firewall (SSH, HTTPS, app port only). - Restrict /kill access to Global Hub. - Enable fail2ban and set timezone to America/New_York. - Verification: - Confirm /kill/all cascade from Global Hub to all nodes. - Validate /health responses and gateway connectivity. - Ensure logging, rotation, and restart behavior. - Deliverables: - Fully operational test environment. - Verified kill-switch propagation. - Documented commands, ports, and service status. Required Skills - Python backend and Linux DevOps experience (FastAPI, Flask, systemd). - Familiarity with Interactive Brokers API and Client Portal Gateway. - Strong understanding of HTTPS microservices, firewalls, and secure server hardening. - Experience with DigitalOcean or similar VPS environments. - Comfortable working under temporary access and producing a clear handover. Access and Workflow - Developer receives temporary credentials for setup. - Credentials are rotated immediately after validation. - All changes must be documented for handover. Timeline and Milestones - Initial implementation and testing: 2 days - Verification and handover documentation: within same week Ideal Candidate - Independent and reliable Python or DevOps engineer. - Proven history with automated trading or brokerage API systems. - Detail-oriented and security-conscious — treats infrastructure like production code.