Developer - Systematic Trading / DeFi Infrastructure

Responsibilities

• Design and operate on-chain monitoring, indexing, and position-state systems across protocols and chains.
• Build automated execution and integration layers for DeFi protocols, including atomic flows and advanced strategies.
• Implement real-time risk controls, alerts, and guardrails spanning on-chain and off-chain systems.
• Partner with traders and researchers to align DeFi systems with institutional requirements.

Requirements

• 5+ years Python combined with either Rust, C#, or Java backend experience building concurrent, production-grade, latency-sensitive systems.
• Deep DeFi experience: AMMs, liquidity positions, yield strategies, protocol math, and accounting.
• Strong execution engineering: transaction lifecycle, nonce/mempool behavior, reorg-aware verification, MEV tradeoffs.
• Production operations experience with Docker/Kubernetes, CI/CD, observability, and fault-tolerant systems.

Preferred Qualifications

• Production experience in Rust, Go, Java, TypeScript, or C++ for performance-critical components.
• Smart contract development or review experience (Solidity, Foundry/Hardhat, OpenZeppelin patterns).
• Background in trading, risk modeling, or traditional financial systems.
• Experience integrating institutional custody, MPC signing, and policy-driven workflows.

Benefits

• Remote-first, globally distributed team with strong engineering ownership.
• Direct collaboration with traders and quantitative researchers; minimal bureaucracy.
• Greenfield DeFi infrastructure built from first principles.
• High-impact role shaping the firm’s long-term on-chain strategy.

About the Company

At AlgoQuant, we're building the future of digital asset management; grounded in rigorous research, world-class technology and a relentless focus on performance.

We began as a proprietary trading firm, developing sophisticated algorithmic strategies and operating in some of the most complex and fast-moving markets. That DNA remains at our core, but today we are evolving into a fully remote, globally distributed Investment Management business. This transformation reflects a broader ambition: to scale our edge, deliver institutional-grade results, and set new standards for the industry.

Our quantitative environment is built to empower innovation, combining vast data capabilities, disciplined model development, and highly automated execution. Risk is embedded in every layer of our thinking, with robust measurement, control, and scenario analysis integrated into our systems and decision-making. Technology is not just a tool for us, it’s a core competency and a competitive advantage.