Senior/Staff Software Engineer, Liquidity Platform

The Liquidity Platform provides cutting-edge technology that covers all aspects of crypto trading. We build low-latency connectivity to global crypto venues — across both CeFi and DeFi — strategy services for automated pricing and trading bots, high-frequency data capture and analysis, and state-of-the-art micro frontends for trading management. On top of this infrastructure, we build highly customized strategies to facilitate crypto liquidity.

Our engineering teams own the full trading lifecycle, from venue connectivity and execution to strategy, data, risk, and analytics. Our risk solutions are independent of trading logic, decoupled by design, and connected to 20+ trading venues across spot, derivatives, and event-contract markets. If you are a strong technologist excited about the potential of crypto trading and fully-automated systematic trading, we should talk.

About the Role

• 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.

• STEM foundation: Bachelor’s degree or above in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline; a combined finance background is advantageous.
• 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.
• Languages: Strong proficiency in one or more of Java (17+), Rust, C++, or Python, with a focus on code quality and operational reliability.
• Systems: Strong understanding of high-performance, low-latency distributed systems, multi-threaded/concurrent programming, and — where relevant — JVM internals and GC behavior.
• Connectivity & protocols: Hands-on experience with FIX 5.0+, WebSocket, HTTP/2, and REST APIs, plus network protocol and TCP/UDP optimization.
• Data & messaging: Strong SQL (MySQL, PostgreSQL — schema design and performance tuning); experience with Redis and Kafka.
• Infrastructure: Comfortable in Linux/Unix environments; familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, AliCloud, GCP) and on-premise infrastructure.
• Markets: Understanding of market microstructure, order lifecycle, and core trading concepts such as PnL, margin, leverage, and market risk.
• 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.
• 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.
• Passion: Genuine interest in crypto markets, blockchain, and the broader financial industry, and a drive to keep learning new technologies.

• 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++
• Protocols: FIX 5.0+, WebSocket, HTTP/2, REST
• Stack: Spring, Netty, Aeron, Chronicle Queue, Disruptor, Kafka, Redis, etcd, MySQL, PostgreSQL, InfluxDB, ClickHouse, Iceberg, Spark
• Infrastructure: Linux/Unix, Docker, Kubernetes, CI/CD, AWS / AliCloud / GCP

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.
• 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.
• Cash OTC: Develop and own OTC trading strategies and their production environment, partnering closely with liquidity and product managers.
• 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.
• Data Engineering: Own the trade & position platform end-to-end — venue connectors, the Python + SQL data model, reconciliation, and data-quality controls.
• Risk & Analytics: Build a greenfield, next-generation risk platform — real-time risk monitoring, PnL/risk calculation, alerting, and circuit-breaking strategies.