About the Company
A venture-backed startup building the agent runtime for one of the largest decentralized perpetual (“perps”) exchanges. The company builds the hardened agentic execution infrastructure, a proprietary real-time data layer, and the open-source strategy marketplace that autonomous AI trading agents run on.
The target exchange is the largest decentralized perpetual exchange (~$7B daily volume, ~$4T cumulative, 70%+ market share in decentralized perps) — and the company is the infrastructure layer that agents run on to access it.
Funding & team:
Backed by ~$4.5M in seed funding from leading crypto-focused venture firms.
Founding team previously built a widely-used onchain data infrastructure platform (billions of events indexed across major EVM chains); that entire core engineering team is now building this company.
Recent hires include lead engineers from a top crypto wallet and a leading DeFi lending protocol.
Key Responsibilities
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Data pipeline — executing the enrichment roadmap (OI velocity, funding history, liquidation data, cross-asset flow detection); server-side computation at scale.
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Runtime execution layer — serial signal processing, atomic state management, idempotent order submission, risk enforcement against live exchange state.
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DSL exit engine — the trailing stop-loss state machine that protects every open position — two-phase architecture, exchange reconciliation, state recovery.
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Scanner subsystem — building new scanner types, optimizing the provider layer, wiring new signals into the confluence scoring system.
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Learning agent infrastructure — building systems that let agents observe every trade, identify failure patterns, propose runtime improvements, and launch new experiments autonomously.
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Scale — taking the runtime from hundreds of agents to tens of thousands.
Requirements
- A Staff-level engineer capable of owning large, business-critical systems. Proven ability to lead work end-to-end: problem definition → architecture → implementation → production. Comfortable making high-impact technical decisions in ambiguous environments.
- Crypto-native experience (essential) — Hands-on experience with crypto wallets, tokens, and trading systems; deep familiarity with trading APIs, execution flows, and transaction lifecycles; strong intuition for how real crypto markets behave under volatility and scale. Product specifics can be taught, but fluency in crypto primitives and trading systems is required.
- Strong production experience with TypeScript and Node.js (primary stack).
- Golang experience for infrastructure work.
- Python experience (scanners and DSL components) is a plus.
- Deep understanding of event-driven architectures, state machines, and serial processing.
- Experience building systems where correctness matters more than speed — financial-grade reliability.
- Actively uses AI as an accelerant in design, development, and iteration (must have).
- Experience running production systems: monitoring, on-call, incident response, root-cause analysis.
Bonus Skills
- Direct experience with the target exchange’s API, order types, and clearinghouse model is a strong plus.
- Background in trading systems, exchange APIs, or fintech where uptime has direct financial consequences.
Interview Process
- CTO Call — project deep-dive, technical ownership, crypto/AI exposure, clarity of thought.
- Tech Architecture Round — system design, scalability, and tradeoffs discussion.
- Pair Programming — hands-on coding; debugging and thought process are key.
- Culture Fit — conversation with founders; ownership, speed, curiosity, builder mindset.