Role & Responsibilities
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Build the backbone of a next-generation exchange by designing and developing ultra-low-latency high-throughput systems at massive scale.
-
Architect data pipelines end-to-end from extraction and transformation to ingestion and fan-outensuring every microsecond counts.
-
Drive performance excellence through intelligent test automation profiling cost optimization and continual engineering refinement.
-
Develop a deep understanding of the exchanges business logic market workflows and regulatory performance requirements shaping systems that power real markets.
-
Partner closely with global engineering product and business teams to deliver strategic high-impact solutions that the entire organization depends on.
-
Champion clean code robust architecture and engineering best practices guiding the team toward world-class technical standards.
-
Work cross-continent with a talented team across Hong Kong Singapore and the USA contributing directly to the evolution of a global platform.
Experience & Qualifications
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Degree in Computer Science or related discipline with 10 years of hands-on engineering experience ideally in fintech trading or high-performance platforms.
-
Deep mastery of Java for high-performance low-latency systems including zero-GC techniques concurrency models and tuning.
-
Practical experience with Chronicle Queue Aeron Kafka or similar high-throughput middleware.
-
Strong command of computer science fundamentals especially data structures and real-world systems design.
-
Opinionated and experienced with testing methodologies engineering principles and coding standards.
-
Comfortable with modern SDLC tooling and CI/CD workflows.
-
A proactive ownership-driven engineer who thrives in a fast-moving startup-style environment.
-
Passionate about mentoring elevating engineering quality and sharing knowledge.
-
Eligible to work in Hong Kong.
Role & Responsibilities Build the backbone of a next-generation exchange by designing and developing ultra-low-latency high-throughput systems at massive scale. Architect data pipelines end-to-end from extraction and transformation to ingestion and fan-outensuring every microsecond counts. Dri...
Role & Responsibilities
-
Build the backbone of a next-generation exchange by designing and developing ultra-low-latency high-throughput systems at massive scale.
-
Architect data pipelines end-to-end from extraction and transformation to ingestion and fan-outensuring every microsecond counts.
-
Drive performance excellence through intelligent test automation profiling cost optimization and continual engineering refinement.
-
Develop a deep understanding of the exchanges business logic market workflows and regulatory performance requirements shaping systems that power real markets.
-
Partner closely with global engineering product and business teams to deliver strategic high-impact solutions that the entire organization depends on.
-
Champion clean code robust architecture and engineering best practices guiding the team toward world-class technical standards.
-
Work cross-continent with a talented team across Hong Kong Singapore and the USA contributing directly to the evolution of a global platform.
Experience & Qualifications
-
Degree in Computer Science or related discipline with 10 years of hands-on engineering experience ideally in fintech trading or high-performance platforms.
-
Deep mastery of Java for high-performance low-latency systems including zero-GC techniques concurrency models and tuning.
-
Practical experience with Chronicle Queue Aeron Kafka or similar high-throughput middleware.
-
Strong command of computer science fundamentals especially data structures and real-world systems design.
-
Opinionated and experienced with testing methodologies engineering principles and coding standards.
-
Comfortable with modern SDLC tooling and CI/CD workflows.
-
A proactive ownership-driven engineer who thrives in a fast-moving startup-style environment.
-
Passionate about mentoring elevating engineering quality and sharing knowledge.
-
Eligible to work in Hong Kong.
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