Leads customer implementations of LLM and generative-AI systems from architecture through production, building full-stack solutions and improving model quality.
About this role
This role sits within SoftBank’s Common Platform Development organization and contributes to the development of a KaaS platform based on Kubernetes. The team is building cloud infrastructure intended to support enterprise digital transformation, application deployment, and AI workloads, including GPU cloud and AI platform use cases.
The engineer plans, designs, develops, tests, and improves KaaS services and Kubernetes platform capabilities. Work includes Kubernetes cluster management, container execution foundations, multi-tenant environments, and networking, storage, and security functions. The role also covers handover to operations and spans the service lifecycle from planning through development. Technologies named in the posting include Linux, AWS, Azure, Google Cloud, Kubernetes, Python, Go, Java, and Git.
Applicants must have practical experience with Linux servers, experience using a cloud environment such as AWS, Azure, or Google Cloud, and experience designing, building, and operating Kubernetes clusters. Development experience in Python, Go, Java, or another listed language, team development using Git, and the ability to communicate smoothly in Japanese are also required.
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