Software Engineer - Kuala Lumpur - ref. o8839219

apartmentN2N Connect Berhad placeKuala Lumpur scheduleFull-time calendar_month 

About the Role

We are looking for a hands-on, detail-oriented Software Engineer (Full Stack) to join our team in building and evolving a high-performance trading platform. This is a technical, individual contributor role with no direct reports. You will be responsible for developing scalable, efficient software that meets product and business requirements across the full development stack.

Key Responsibilities
  • Execute the full software development life cycle (SDLC), from design through deployment.
  • Translate business and technical requirements into well-designed, testable, and efficient code.
  • Develop and implement innovative, user-focused software solutions tailored for trading platform use cases.
  • Collaborate closely with internal teams (product, QA, and UX) to troubleshoot, improve, and enhance existing features.
  • Maintain clear documentation of development work, including code, processes, and system design.
  • Continuously monitor system performance and ensure application stability and scalability.
  • Stay up to date with emerging technologies and best practices, and contribute to architectural discussions and code reviews.
  • Support continuous improvement by proactively exploring alternatives, recommending enhancements, and optimizing codebases.
What You’ll Need
  • Proven experience in full stack development, ideally with exposure to real-time or trading systems.
  • Strong understanding of modern front-end and back-end technologies (C# or Java, VueJS and MS SQL databases).
  • Solid grasp of software engineering fundamentals, including OOP, design patterns, data structures, and testing practices.
  • Ability to work independently, take ownership of deliverables, and meet deadlines without supervision.
  • A mindset for clean, maintainable code and system optimization.
Nice to Have
  • Experience in financial services, fintech, or trading platform development.
  • Familiarity with DevOps tools (Docker, CI/CD pipelines, cloud platforms).
  • Knowledge of WebSocket, real-time data processing, or low-latency architecture.
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