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Low-latency Java Developer (Senior VP level)

HK13 дн. назад

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Develops and enhances a risk management platform for derivatives trading; works with quants and product team; uses Java, Spring/Micronaut, Docker, Kubernetes. · Needs: 5+ years Java backend engineer; low-GC/no-GC Java; Spring/Micronaut; automated testing; financial product expertise in portfolio margin and derivative risk

Описание от работодателя

My client is a prominent crypto OTC exchange with global operation. Their low-latency architecture team is seeking a highly-skilled Java developer who will work alongside with the CTO. Reports to: CTO  We are seeking a highly skilled and experienced Java Developer and contribute to the development and enhancement of our risk management platform. As a team member, you will be responsible for designing, developing, and maintaining robust and scalable software solutions that enable efficient risk assessment and management for the organization's derivatives trading products. You will work closely with cross-functional teams, including risk management professionals and quantitative analysts, to understand business requirements and translate them into reliable and high-performance software systems. Role & Responsibilities: Design, develop, test, and deploy high-quality and performant software solutions using Java and related technologies Optimize and refactor existing codebase to improve performance and maintainability. Help maintain code quality, organization, and automation. Collaborate with cross-functional teams to troubleshoot and resolve technical issues Conduct code reviews and provide constructive feedback Work closely with quants and product team Experience & Qualifications: 5+ years of experience as a Java backend engineer. Strong proficiency in Java programing language Experience writing low-GC / no-GC Java applications. Hands-on experience on Java Frameworks such as Spring/Micronaut. Hands-on experience on automated testing Good financial product expertise especially in products like portfolio margin and derivative risk calculation Good hands-on git (github), Docker, Kubernetes, JIRA, Confluence.