Our client is a multi-strategy hedge fund based in Singapore, founded by leading industry executives. They are expanding their software engineering team to support the firm's growth. This is an excellent opportunity to join a dynamic, fast-growing hedge fund where you can significantly impact projects, enhance your skills, and advance your career in a collaborative environment. Both full-stack or back-end engineers are welcome.

Key Responsibilities
• Develop, maintain, and optimize scalable, efficient, and secure applications across both back-end and front-end
• Design implement, and optimize back-end services, APIs, and microservices for high performance and reliability
• Build responsive and user-centric interfaces using modern front-end frameworks
• Collaborate effectively with team members across disciplines and mentor junior engineers
• Demonstrate strong ownership by promptly addressing production issues and communicating resolution clearly to stakeholders
• Adapt to various roles as required, including hands-on coding, architectural discussions, and system optimizations
• Drive continuous improvements in code quality, testing, CI/CD, and infrastructure

Requirements
• Bachelor's degree in Computer Science, Software Engineering, or related discipline
• At least 5-7 years of experience in software development
• Strong proficiency in Python; knowledge in Rust, C++, or a JVM language (Java/Scala) would be a plus
• For full-stack developers: expertise in front-end stacks such as React.js/Redux, TypeScript, JavaScript, and HTML/CSS
• Knowledge of Kubernetes and microservice architecture is essential
• Self-driven with a strong sense of ownership; team player who fosters a sense of belonging within a small but growing team

Nice-to-Haves
• Knowledge of finance and trading domain, particularly in multi-strategy hedge funds
• Experience working with CI/CD pipelines, infrastructure as code, AWS/GCP, CDNs, etc.
• Integration experience with financial systems such as Bloomberg API
• Experience in developing complex distributed systems or building sizable applications from scratch
• Proficiency in using AI-coding assistant tools such as GitHub Copilot, and the ability to leverage AI to boost productivity while being mindful of risks

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