Senior/Staff Software Engineer. Liquidity Platform, Options Market Making

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.

OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.

Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About the Opportunity

About the Liquidity Platform

The Liquidity Platform provides technology covering the full lifecycle of cryptocurrency trading, including venue connectivity, real-time market data processing, automated quoting and trading, order execution, position management, risk controls, and data analytics. The platform connects to centralized exchanges, decentralized venues, and event contract markets worldwide. It supports spot, derivatives, and event contract products and provides stable, efficient infrastructure for our liquidity business.

About the Options Market Making Team

The Options Market Making team develops and operates automated options quoting and trading systems. Our responsibilities span market data integration, options pricing, volatility and Greeks calculations, automated quoting, order execution, position management, hedging, and risk controls. The team owns the complete trading lifecycle and continues to advance both the multilingual development of our trading systems and our AI-native engineering practices.

In this role, you will contribute across the trading system, develop an understanding of its different business domains, and take end-to-end responsibility from requirements analysis and implementation through production operation.

What You’ll Be Doing

• Design, develop, and operate automated options market making systems covering market data, pricing, quoting, order execution, hedging, positions, and risk controls.
• Work closely with trading, quantitative, and product teams to translate business requirements into reliable, testable production systems.
• Contribute to the development of trading systems and continuously improve the performance, stability, and maintainability of critical trading paths.
• Follow an AI-native engineering approach by applying AI coding tools to requirements analysis, technical design, development, testing, and code review, while remaining accountable for the quality of the final delivery.
• Improve testing, monitoring, alerting, and recovery capabilities, and participate in incident resolution and post-incident reviews.
• Own the technical design and code review of core modules. Senior and Staff engineers will also lead cross-module projects and architectural evolution.

What We Look For In You

• Bachelor's degree or above in Computer Science, Software Engineering, Mathematics, Physics, or a related discipline.
• At least two years of experience in backend engineering, real-time systems, infrastructure, or trading systems.
• Proficiency in at least one of Java, Rust, or C++, with the ability to work effectively in a multilingual codebase.
• Strong computer science fundamentals, including operating systems, network communication, multithreading, concurrent programming, and distributed systems.
• Proficiency in using AI coding tools for requirements analysis, development, testing, and code review, with the ability to independently evaluate and validate AI-generated designs and code.
• Strong analytical skills, business understanding, ownership, and communication skills, including the ability to read technical materials and communicate in written English.

Technical Requirements

• Proficiency in developing production systems with Java 17+, Rust, or C++, with the ability to design, implement, and troubleshoot within a multilingual codebase.
• Familiarity with Linux development and runtime environments, including the use of common tools for resource analysis, performance diagnostics, and troubleshooting.
• Experience with multithreading, asynchronous processing, network I/O, and high-performance data structures, with an understanding of lock contention, memory allocation, caching, garbage collection, and their impact on latency.
• Ability to use AI coding tools to support requirements analysis, development, testing, and code review, while independently validating the correctness and production safety of generated code.
• Familiarity with TCP, UDP, WebSocket, HTTP, or proprietary exchange protocols, with experience developing real-time data or trading interfaces.
• Ability to design and optimize high-throughput, low-latency systems and identify bottlenecks through profiling, benchmarking, and production metrics.
• Familiarity with real-time messaging and inter-process communication. Experience with Aeron, shared memory, lock-free queues, or binary protocols is preferred.
• Experience building logging, metrics, alerting, and automated recovery capabilities for continuously operating production systems.
• Familiarity with build and dependency management for large multi-module projects, together with experience in unit testing, integration testing, and continuous integration.

Preferred Qualifications

• Experience in options market making, quantitative trading, exchange connectivity, market data, order management, quoting, hedging, or risk systems.
• Understanding of order books, order lifecycles, and market microstructure.
• Understanding of options pricing, volatility, Greeks, PnL, inventory risk, and dynamic hedging.
• Experience developing low-latency trading systems, real-time market data systems, or high-performance network services.
• Experience evolving multilingual systems or separating performance-sensitive components.
• Experience with market data replay, strategy simulation, trade reconciliation, or production incident resolution.
• Experience using Python for data analysis, backtesting, or production diagnostics.
• Practical experience using AI coding tools such as Claude Code or Codex in production projects.

Perks & Benefits

Competitive total compensation package

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!

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