OKX - Senior/Staff Software Engineer, Liquidity Platform
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Requirements
• Languages: Strong proficiency in one or more of Java (17+), Rust, C++, or Python, with a focus on code quality and operational reliability. • Languages: • Systems: Strong understanding of high-performance, low-latency distributed systems, multi-threaded/concurrent programming, and — where relevant — JVM internals and GC behavior. • Systems: • Connectivity & protocols: Hands-on experience with FIX 5.0+, WebSocket, HTTP/2, and REST APIs, plus network protocol and TCP/UDP optimization. • Connectivity & protocols: • Data & messaging: Strong SQL (MySQL, PostgreSQL — schema design and performance tuning); experience with Redis and Kafka. • Data & messaging: • Infrastructure: Comfortable in Linux/Unix environments; familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, AliCloud, GCP) and on-premise infrastructure. • Infrastructure: • Markets: Understanding of market microstructure, order lifecycle, and core trading concepts such as PnL, margin, leverage, and market risk. • Markets: • Mindset: Strong analytical thinking, ownership, and attention to detail; able to work effectively under pressure in a fast-paced environment; a controls mindset around data quality and reproducibility. • Mindset: • Communication: Excellent communication and collaboration skills across business and technical teams; fluency in English required, with Chinese/Mandarin a strong plus for global, cross-functional work. • Communication: • Passion: Genuine interest in crypto markets, blockchain, and the broader financial industry, and a drive to keep learning new technologies. • Passion: • Prior experience in proprietary trading, market making, quantitative research, or front-office technology at exchanges, banks, or investment institutions. • Experience with execution algorithms (TWAP, VWAP, iceberg, sniper, smart order routing) and backtesting / strategy-simulation frameworks. • Low-latency tooling and IPC: Aeron, Chronicle Queue, Disruptor, shared-memory messaging, Agrona Collections, Protocol Buffers, SBE. • Frameworks and libraries such as Spring, Netty, and Vert.x. • Modern data platforms (Spark/PySpark, Iceberg, ClickHouse, InfluxDB), workflow orchestration (Airflow, Celery), and ML tooling (MLflow, TensorFlow). • Strong understanding of DeFi, blockchain, smart contracts, and crypto exchange APIs; exposure to event-contract / prediction markets. • Agentic programming fluency — hands-on use of AI coding tools (e.g., Claude Code, Codex) on real production work. • Risk and compliance experience; professional certifications such as CFA or FRM. • Technical Environment • Languages: Java 17+, Rust, Python, C++ • Languages: • Protocols: FIX 5.0+, WebSocket, HTTP/2, REST • Protocols: • Stack: Spring, Netty, Aeron, Chronicle Queue, Disruptor, Kafka, Redis, etcd, MySQL, PostgreSQL, InfluxDB, ClickHouse, Iceberg, Spark • Stack: • Infrastructure: Linux/Unix, Docker, Kubernetes, CI/CD, AWS / AliCloud / GCP • Infrastructure: • Team Specializations • The Liquidity Platform comprises several engineering teams. Depending on your strengths and interests, you may join one of the following: • Delta One – Systematic Trading: Build cross-venue liquidity and market-making strategies with deep market-microstructure and execution-optimization focus. • Delta One – Systematic Trading: • Option Market Making: Build and operate automated option market-making strategies and pricing systems — managing volatility, greeks, and inventory risk while quoting continuously across crypto options venues. • Option Market Making: • Cash OTC: Develop and own OTC trading strategies and their production environment, partnering closely with liquidity and product managers. • Cash OTC: • Trading Infra Service: Build and maintain the core strategy engine and trading-infrastructure microservices on a distributed, enterprise-grade architecture. Deliver high-throughput, sub-millisecond order execution, market-data pipelines, and exchange connectivity. • Trading Infra Service: • Data Engineering: Own the trade & position platform end-to-end — venue connectors, the Python + SQL data model, reconciliation, and data-quality controls. • Data Engineering: • Risk & Analytics: Build a greenfield, next-generation risk platform — real-time risk monitoring, PnL/risk calculation, alerting, and circuit-breaking strategies. • Risk & Analytics:
Responsibilities
• Design, build, and operate scalable, fault-tolerant, low-latency trading infrastructure and microservices that handle 24/7 crypto market operations. • Build and maintain connectivity to centralized exchanges, DeFi venues, and counterparties using FIX 5.0+, WebSocket, HTTP/2, and REST — handling the real-world complexities of external integrations and on-chain data. • Develop and maintain core services across the trading lifecycle: strategy and execution engines, automated pricing and trading bots, order execution and position tracking, trade & position data platforms, and risk & analytics systems. • Architect and optimize high-throughput order execution with sub-millisecond latency targets, and build real-time market-data pipelines aggregating order books and price feeds across multiple venues. • Implement pre-trade risk controls, circuit breakers, rate limiters, position/PnL and risk calculations, automated alerting, and high-availability architecture. • Implement robust monitoring, alerting, and auto-recovery so strategies remain stable, scalable, and self-healing in a 24x7 trading environment. • Build trusted data models, reconciliation workflows, and data-quality controls with clear lineage, reproducibility, and documentation — delivering outputs for the trading desk, Finance, and Operations. • Profile and eliminate latency hotspots using garbage-free coding and lock-free concurrency; continuously improve system performance and user experience. • Collaborate with liquidity managers, product managers, desk developers, risk, finance, and operations to design, implement, and roll solutions into production. • Conduct code reviews, mentor junior engineers, and uphold scalability, resiliency, maintainability, and security best practices across all development activities. • What We Look For In You • STEM foundation: Bachelor’s degree or above in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline; a combined finance background is advantageous. • STEM foundation: • Experience: Typically 3–8 years in software or data engineering (level-dependent), ideally with exposure to trading, OMS, middle/post-trade, or latency-sensitive systems.
Benefits
• L&D programs and Education subsidy for employees' growth and development • Various team building programs and company events • Wellness and meal allowances • Comprehensive healthcare schemes for employees and dependants • More that we love to tell you along the process! • Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. • OKX Statement: • OKX Statement:
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