Senior Software Engineer (Trading Core)

We are working with a decentralised exchange which looks to innovate on providing the best of CEXs and DEXs, focusing on building a safe, simple and scalable platform for trading. They differentiate themselves by offering institutional level systems and support whilst remaining on-chain and decentralised. We are in search of a highly adept Trading Systems Engineer for the core Engineering team to strengthen the platform's performance, scalability, and observability.

The ideal candidate will have a strong background in low-latency trading systems and experience supporting clients like quant funds and market makers in integrating with APIs (both REST and WebSocket).

Responsibilities

include implementing core connectivity systems to expand the trading engine into a global, low-latency network. This involves building foundational data distribution channels and improving their throughput and latency. Successful candidates will engage with clients' developers and project managers, addressing inquiries and resolving issues.

Collaboration with the Gateway team and Trading Engineering will be essential to troubleshoot API and trading issues while contributing to the overall Gateway roadmap. Additionally, work with the Product Engineering team to enhance the SDK for blockchain signatures used by API traders. What you’ll be doing: Develop and optimize the core matching engine and risk engine for the exchange, ensuring high performance and low latency.

Write highly reliable, production-ready code that guarantees the financial safety and integrity of computations. Investigate and debug complex issues through thorough analysis of logs. Create and maintain comprehensive unit tests and advanced integration tests to validate the exchange's financial computational correctness.

Work with the Quant team to develop, test, and refine our various trading algorithms.

Requirements

Stay updated with the latest advancements in HFT systems and low-latency trading technologies.

What We’Re Looking For

: Minimum of 7 years of experience in software engineering, with at least 3 years focused on high-frequency trading (HFT) systems. Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in building and optimizing low-latency trading infrastructure.

Proficient in low-latency message bus systems such as Aeron or Chronicle Queue. Strong proficiency in Golang and Solidity. Expertise in deterministic coding and zero garbage-collection techniques.

Exceptional debugging and troubleshooting skills, with the ability to analyze complex logs and traces to identify and resolve issues. Strong emphasis on writing unit tests, integration tests, and other advanced testing methodologies to ensure financial computational correctness. Experience in the financial technology industry, particularly in high-frequency trading or crypto exchanges.

Experience with real-time data processing systems and streaming technologies.