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 software development role sits in SoftBank’s Digital Innovation Department within the Next-Generation Service Platform Division. The team develops digital-twin and AI data ecosystem infrastructure, including systems that support 3D geospatial visualization and real-time data processing.
The engineer designs, develops, and operates backend applications and cloud platforms. The work includes Java and Spring Boot APIs, gRPC-based microservice integration, PostgreSQL data modeling and query optimization, AWS services such as ECS, Fargate, EKS, S3, RDS, and CloudFront, Docker environments, CI/CD pipelines, CloudFormation-based infrastructure, data pipelines, and security and network design using services including WAF, IAM, KMS, VPC, ALB, and NLB. The role also covers automated testing, code review, performance improvement, and operational efficiency.
Applicants must have at least one year of server-side application design or implementation experience, Java development experience, cloud infrastructure design or construction experience with AWS, GCP, or Azure, Docker container experience, Git-based team development experience, and experience using AI-assisted development tools such as Claude Code or GitHub Copilot.
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