Developer - Systematic Trading & DeFi Infrastructure

AlgoQuant; Dubai; Hybrid; AED 200,000 - 280,000; Full time

Job summary

A financial technology firm is searching for a Developer specialized in Systematic Trading and DeFi Infrastructure. The role involves building backend systems to bridge on-chain and off-chain activities, implementing risk controls, and collaborating with traders. Candidates should have over 5 years of experience in Python and backend systems, along with a strong understanding of DeFi principles. This position offers a remote or hybrid work environment from Dubai, promoting minimal bureaucracy and strong engineering ownership.

Benefits

Remote work flexibility

Direct collaboration with researchers

High-impact role in DeFi

Greenfield projects

Qualifications

• 5+ years of experience in Python and backend systems.
• Deep knowledge of DeFi, including AMMs and liquidity positions.
• Experience with production operations in Docker/Kubernetes.

Responsibilities

• Build core DeFi backend and execution systems.
• Design and operate on-chain monitoring and indexing systems.
• Implement real-time risk controls and alerts.

Skills

Python

Rust or C# or Java

DeFi experience

Docker/Kubernetes

CI/CD

Tools

Docker

Kubernetes

Job description

Developer - Systematic Trading / DeFi Infrastructure

Dubai - Remote - Hybrid

Developer - Systematic Trading - AlgoQuant Asset Management

Location: Fully Remote or Hybrid (Preference for Dubai, hybrid)

Reporting to: Head of Systematic Trading Technology

About AlgoQuant Asset Management

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.

Overview

• Build core DeFi backend and execution systems bridging on-chain activity with off-chain trading, accounting, and risk.
• Own protocol integrations end-to-end: data pipelines, execution flows, monitoring, and reliability.
• Operate in latency-sensitive, failure-intolerant environments with real capital at risk.
• Contribute to architecture decisions and new DeFi infrastructure initiatives.

What You’ll Do

• 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.

Core 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.
• Production operations experience with Docker/Kubernetes, CI/CD, observability, and fault-tolerant systems.

DeFi & Execution Expertise

• Multi-chain and cross-chain operations, bridging, and chain-specific execution nuances.
• Reorg-safe on-chain data pipelines with replay/backfill and deterministic state rebuilds.
• Atomic execution patterns, flashloans, and simulation-first execution guardrails.
• Security and protocol risk awareness across approvals, oracles, upgrades, liquidity, and MEV vectors.

(Very) Nice to Have

• 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.

Why AlgoQuant

• 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.