
Backend Engineer - IC
- Singapore
- Permanent
- Full-time
- Contribute to the Data Technology Operations Masterplan (DTOM) by developing and maintaining the Analytics Workbench (AWB), a centralized platform designed to overcome the challenges faced by quantitative strategists.
- Drive the transition from traditional laptop-based model development—which often results in data silos, limited collaboration, and scalability challenges—to a scalable, collaborative, and cloud-native solution
- Leverage Databricks' Platform-as-a-Service (PaaS) to consolidate analytics capabilities across Artificial Intelligence (AI), Machine Learning (ML), Business Intelligence (BI), and Data Engineering into a unified platform
- Build and optimize systems that streamline data workflows, enhance cross-team collaboration, and reduce reliance on fragmented or custom-built applications
- Ensure high standards of reliability, scalability, and performance for AWB while fostering a culture of innovation, automation, and best practices in engineering and DevOps.
- Possess a degree in Computer Science/Information Technology or related fields.
- At least 5 years of strong DevOps experience with strong experience in CI/CD pipeline and artifactory management.
- Proficiency in CI/CD workflows such as GitHub Action, Jenkins.
- Proficiency in artifact repository management systems such as JFrog, Nexus.
- Strong Linux administration skills and Shell scripting expertise.
- Experience in software engineering in at least one of these programming languages - JavaScript, Java, Python, or .NET.
- Experience in containerization technologies such as Docker, Kubernetes, EKS, Helm (Relevant certifications are a plus).
- Experience in AWS with solid understanding of Cloud services and infrastructure management (AWS certifications are a plus).
- Experience in diagnosing and resolving complex system issues across multiple technology layers.
- Excellent communication skills to work effectively with diverse engineering teams.
- Strong team-player mindset, focused on leveraging experience to help the team succeed.
- Passion for advocating and implementing best practices in Software Engineering and DevOps.
- New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
- Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.