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)
