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Randstad Singapore Linkedin · Posted 16d ago

Software Developer | E-commerce Platform | Distributed Systems

Singapore

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Indexed description

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)

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