Software Developer | Senior - Staff/Principal

High-Scale Global Impact AI-Powered E-commerce Engineering about company I am currently partnering with an established, publicly listed global e-commerce technology leader that operates a high-traffic marketplace platform across more than 50 countries. The organization combines the stability of a major international platform with the fast-paced agility of an innovative tech startup. ** based in Singapore, remote working arrangement about job Lead the end-to-end architecture, development, and optimization of high-impact, distributed backend systems that power global transactional engines. Maintain a highly hands-on technical presence, dedicating the majority of your time to writing and reviewing production-grade code. Drive large-scale, cross-team engineering initiatives and mentor senior engineering talent through technical leadership. Own entire feature lifecycles, from refining complex business requirements to deployment, testing, and production support. Modernize daily workflows by leveraging AI-assisted development tools to accelerate shipping cycles and boost code quality. Shape the technical roadmap for core domains including order management, checkout pipelines, pricing engines, and cloud-native services. skills and requirements Bachelor's or Master's degree in Computer Science or a related technical discipline. Minimum of 10 years of professional software engineering experience, with a proven track record of leading large-scale system initiatives. Proficient in at least one major language such as TypeScript, JavaScript, Java, Go, or Python (strong experience with Node.js backend development is highly advantageous). Deep expertise in building cloud-native applications on AWS and managing distributed systems architectures. Hands-on experience with core infrastructure and data tools such as ECS, Kubernetes, MySQL, MongoDB, Kafka, Redis, or Elasticsearch/OpenSearch . Advanced familiarity with AI-native development tools (e.g., GitHub Copilot, Cursor, Claude Code ) to optimize engineering efficiency To apply online please use the 'apply' function, alternatively you may contact Evangeline. (EA: 94C3609/ R24124002)