Staff Software Engineer - Backend & AI Infra

- Plugin Runtime Ownership: Lead the evolution of the per-agent process, migrating from a distributed Go/Python hybrid to a centralized, high-performance Go service utilizing Postgres state and real-time websocket price feeds. - Rules Engine Engineering: Build a YAML-configurable "Scanner Gateway" to bridge signal production and execution, allowing for complex scoring and filtering without direct code manipulation. - Advanced Execution Systems: Develop and maintain the RatchetStop Backend , a centralized profit-trailing service capable of sub-second evaluation and websocket-based order execution to protect capital even when agents are offline. - Data & Connectivity: Manage the Model Context Protocol (MCP) server bridging agents to platform tools, and oversee a high-throughput data pipeline (Redis, Postgres, ClickHouse) for real-time market intelligence ingestion.

- Infrastructure Sovereignty: Lead the technical execution of migrating agents from third-party platforms to a custom-built, Senpi-hosted environment featuring isolated workspaces and state persistence. - Model Serving: Evaluate and implement the transition from external LLM APIs (Anthropic, Google) to self-hosted inference, optimizing for telemetry capture and performance. - Telemetry & Feedback Loops: Architect systems to capture every agent decision and score, creating a self-reinforcing loop where the fleet learns and improves from collective performance data. - Deployment Pipelines: Build robust CI/CD pipelines for zero-downtime rollouts, ensuring that updates to scanner logic or runtime patches do not interrupt active market positions.

- System Reliability: Design monitoring and alerting frameworks to detect agent failures, state corruption, or authentication expirations before they impact financial performance. - Cloud Orchestration: Manage AWS/EKS environments using Infrastructure-as-Code (IaC). - Incident Response: Own the operational health of the fleet, acting as the primary responder for high-stakes trading system incidents.

- Founder / CEO Interview: Introduction to the vision and strategic goals. - Take-Home Test: A practical assessment of technical design and coding capabilities. - Technical Interview: A deep dive into systems architecture and engineering expertise. - Final Interview: Cultural alignment and final technical synthesis.

- Technical Essentials

- Expert Backend Engineering: Proficiency in writing production-grade code in Go , Python , and Node.js/TypeScript (Go is strongly preferred for runtime services). - Startup Experience: A proven track record of building complex backend services (APIs, job scheduling, distributed systems) from scratch in a fast-paced environment. - Real-Time Systems: Deep understanding of low-latency environments, websocket management, and sub-second condition evaluation. - Database Mastery: Production experience with Postgres , Redis , and at least one analytical database (e.g., ClickHouse , TimescaleDB, or BigQuery). - Orchestration: Hands-on experience deploying, scaling, and debugging production workloads on Kubernetes (AWS EKS) . - End-to-End Ownership: Demonstrated ability to design, build, deploy, and maintain systems throughout their entire lifecycle.

- Preferred Qualifications

- LLM Infrastructure: Experience with model serving and optimizing inference (e.g., vLLM, TGI, or TensorRT-LLM). - FinTech/Trading: Background in exchange APIs, wallet operations, or on-chain infrastructure where uptime has direct financial consequences. - Agentic Frameworks: Familiarity with Model Context Protocol (MCP) or orchestrating multi-agent platforms.

- Competitive compensation and equity packages. - The opportunity to build foundational infrastructure in a new category of autonomous software. - High-autonomy environment with a focus on engineering excellence. - Collaborative culture working alongside industry-leading founders and engineers.

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