Xionex Hiring! Full Time Senior Software Engineer in Federal Territory - Ricebowl

Company Description Xionex partners with banks, insurers, and large enterprises to modernize operations and unlock new efficiency opportunities. The company focuses on reducing costs, accelerating back-office processes, and improving quality through governed AI and specialized vertical AI agents. Drawing on deep domain expertise and a high-performance global service-delivery model, Xionex designs solutions that are robust, scalable, and secure. Team members contribute to impactful AI-driven transformation projects that shape the future of operational excellence in financial services and beyond.

Role Description As a Senior Software Engineer at Xionex, you will design, develop, and maintain high-performance back-end systems that power governed AI solutions and vertical AI agents. You will collaborate closely with product managers, data scientists, and domain experts to translate business requirements into scalable software architectures and reliable APIs. Daily responsibilities include implementing new features, optimizing existing services, conducting code reviews, writing automated tests, and troubleshooting production issues to ensure system reliability and security. You will contribute to technical design decisions, mentor other engineers, and help establish best practices in software development and deployment. This is a full-time hybrid role based in Greater Kuala Lumpur, with a mix of on-site collaboration and work-from-home flexibility.

Qualifications

• Strong foundation in Computer Science, including algorithms, data structures, and software design principles.
• Proficiency in Software Development and Programming, with experience delivering production-grade systems and services.
• Hands-on expertise in Back-End Web Development, including APIs, microservices, and integration with data platforms.
• Solid understanding and practical use of Object-Oriented Programming (OOP) in modern programming languages.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization/orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of secure coding practices and performance optimization for distributed systems.
• Ability to work in hybrid teams, communicate clearly with technical and non-technical stakeholders, and mentor peers.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• Experience in financial services, AI/ML-driven products, or large-scale enterprise systems is an advantage.