Teams at Global Fashion Group

Supports platform project delivery, infrastructure and DevOps services, site reliability, maintenance, CI workflow optimization, and foundational infrastructure implementation. The role helps engineering and data teams use cloud providers, CI/CD, external tools, vendors, observability systems, and reliability practices. It requires AWS knowledge, familiarity with technologies such as Kubernetes and Terraform, problem-solving ability, continuous learning, English fluency, and preferably coding experience.

Own the global Datajet discovery and personalisation platform across search, catalog, merchandising, and recommendations. Lead roadmap strategy, experimentation, KPI ownership, stakeholder alignment, regional enablement, and go-to-market rollouts. Use customer insights, analytics, and prioritisation frameworks to drive measurable conversion and commercial outcomes across LATAM, Southeast Asia, and ANZ.

Build and maintain clean, tested backend code for high-traffic distributed systems. Deploy scalable microservices using Kubernetes, Terraform, and CI/CD; design and maintain APIs; collaborate with engineers and stakeholders; apply software engineering principles, testing practices, cloud technologies, and relational or NoSQL databases.