Staff Software Engineer Agent Runtime & Infrastructure

The Role

Youll own two critical workstreams the agent runtime and backend infrastructure powering every trade in our fleet and the migration of model hosting and agent deployment to fully in-house infrastructure. This is staff-level ownership from architecture through to 3am incident response.

What Youll Build

Agent Runtime & Backend (50%)

• Plugin runtime per-agent position tracking trailing stop execution and DSL state management
• Scanner gateway and rules engine YAML-configurable evaluation layer between signals and execution
• Centralised profit-trailing service protecting open positions even when agents are offline
• Execution layer the MCP server bridging agents to 48 platform tools including position creation market data and exchange state
• Real-time data pipelines enriched intelligence flowing through Redis Postgres and ClickHouse

Model & Agent Hosting Migration (30%)

• Migrate agent deployment to fully owned infrastructure isolated workspaces cron scheduling state persistence and one-command skill deployment
• Lead the move from external LLM APIs to self-hosted inference own the decision and the execution
• Build agent telemetry to capture every trade decision scanner evaluation and signal score across the fleet
• Zero-downtime CI/CD pipelines for shipping updates to 50 live agents without exposing open positions

Infrastructure & Operations (20%)

• Monitoring and alerting for agent failures orphaned positions and state corruption
• Cloud infrastructure management on AWS/EKS with infrastructure-as-code
• Own incident response in a live trading system every minute of downtime is real capital at risk

What You Bring

Must-haves:

• Strong production backend engineering in at least two of: Go Python Go preferred
• Experience building backend services from scratch APIs job scheduling state management distributed systems
• Solid understanding of real-time low-latency systems websockets sub-second evaluation condition-based triggers
• Production experience with Postgres Redis and an analytics DB such as ClickHouse or BigQuery
• Kubernetes experience deploying scaling and debugging on AWS EKS
• You have owned a system end-to-end designed built deployed operated and fixed it under pressure

Strong plus:

• Experience with LLM infrastructure model serving inference optimisation vLLM TGI or managed endpoints
• Background in trading systems exchange APIs or fintech where uptime has direct financial consequences
• Onchain infrastructure experience wallet operations RPC nodes DEX integration
• Experience building multi-agent platforms or CI/CD pipelines for live trading systems

This is not a DevOps role. Youll spend 80% of your time writing code that ships to production because at our stage the best person to operate a system is the person who built it. If you are a backend engineer who wants to build the foundational infrastructure for a new category of autonomous financial software this is your role.