• Build and maintain the infrastructure for concurrent AI trading agents, managing complex cron schedules, state files, and trailing stop processes. • Deploy and manage agent environments, including workspace persistence, isolated session management, and Model Context Protocol (MCP) server connectivity. • Design and operate pipelines for shipping trading skills and plugins to production without interrupting live trading activity. • Execute deployment strategies (blue/green, canary) ensuring active financial positions remain protected during every infrastructure change. • Build comprehensive alerting across the full stack using metrics, logs, and traces to detect agent failures, state file corruption, or infrastructure regressions before financial loss occurs. • Operate and scale core platform infrastructure, including Kubernetes (EKS) clusters, Redis, Postgres, ClickHouse, and Kafka. • Maintain blockchain node infrastructure and ensure stable connectivity to exchange APIs and on-chain transaction systems. • Lead incident response and on-call practices, including debugging, mitigation, and post-mortems to improve long-term platform reliability.