Über diese Senior/Staff Software Engineer. Liquidity Platform, Options Market Making Stelle bei OKX
Who We Are
About the Opportunity
About the Liquidity Platform
About the Options Market Making Team
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
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Competitive total compensation package
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L&D programs and Education subsidy for employees' growth and development
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Various team building programs and company events
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Wellness and meal allowances
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Comprehensive healthcare schemes for employees and dependants
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More that we love to tell you along the process!