Lead AI transformation projects from vision and requirements definition through PoC, implementation, operations, and adoption. Manage multiple client engagements, teams, quality, profitability, staffing, risks, and stakeholder alignment.
About this role
The Senior Infrastructure Engineer will support AI and data projects from PoC and MVP launch through production. Responsibilities include clarifying infrastructure requirements, designing and building cloud environments, and making design decisions that enable projects to run quickly. The role also covers cloud architecture for AI and data workloads, reusable environment standardization through infrastructure as code, CI/CD pipeline development, container platform operations, monitoring, logging, alert design, and security design and operations.
The engineer will work with Terraform or similar tools for IaC, GitHub Actions or similar tools for CI/CD, and Docker, ECS, or Kubernetes for container platforms. Security responsibilities include IAM, network isolation, and vulnerability response. Depending on project requirements, the role may also implement APIs, batch processes, authentication, and other backend functions. The position is expected to create baseline environments and templates that can be reused across multiple projects.
Required qualifications include at least three years of experience designing, building, and operating cloud environments using AWS, GCP, or Azure; foundational network and security knowledge including VPC or VNet, IAM, encryption, and log design; Linux operations experience; practical IaC experience such as Terraform or CloudFormation; and container operations experience with Docker. Application-oriented development experience or understanding, such as implementing APIs or batch processes with TypeScript, Python, or Go, is also required. Applicants need the ability to work in Japanese.
Experience launching PoC or MVP infrastructure, designing or operating ECS, EKS, GKE, or Kubernetes, basic MLOps or LLMOps knowledge, and operational understanding of model or inference platforms, Feature Stores, or RAG configurations are preferred. Full-cycle experience in a small team is also welcomed.
The role is a full-time permanent position. The position is based in Chuo-ku, Tokyo, and remote work is available.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Lead AI and digital transformation strategy projects for major enterprise clients, including data-driven management, governance, dashboards, solution proposals, project delivery, account planning, negotiation and coordination with data scientists and AI engineers.
Leads AI and data consulting from client discovery through solution design, proposals, delivery, and project support, while developing leads and data-driven transformation initiatives.
Lead server engineering across game projects, improve cloud infrastructure and shared platforms, resolve incidents and guide technical decisions and engineer development.
Troubleshoots API failures, integrations, authentication errors, and production incidents; reproduces issues, guides customers, and automates support workflows with Python and AI tools.
Drives datacenter product growth across telecom customers, system integrators, OEMs, and channel partners through account plans, business development, forecasting, and pipeline management.