About the Opportunity We are currently partnering with one of Japan’s fast-growing AI & DX companies, which is building a new Data Science organization focused on developing an advanced AI-ready data and machine learning platform. The company
Job Description: We are looking for a talented GKE Administrator and Cloud Delivery Engineer to manage, scale, and evolve our Google Kubernetes Engine platform. The successful candidate will combine deep Kubernetes expertise with strong cloud delivery practices to ensure our
We are seeking an experienced Vertex AI Engineer and Cloud Delivery Lead to drive the design, deployment, and operationalisation of machine learning solutions on Google Cloud. This role bridges AI/ML engineering and cloud delivery, ensuring that models and pipelines reach
We are looking for a skilled Cloud Delivery Engineer with deep expertise in Terraform and Ansible to automate, provision, and deliver infrastructure on Google Cloud Platform. This role is central to enabling fast, reliable, and repeatable cloud delivery across engineering teams,
We are seeking a highly skilled GCP IAM Specialist with strong cloud-native development expertise to design, implement, and govern identity and access management frameworks across our Google Cloud Platform estate. This role is pivotal in ensuring secure, compliant, and scalable
JD in Japanese follows. 英文の後に和文JDをご覧いただけます。 Class of 2028, 28卒対象 / Software Engineer Internship - Mercari Group Mercari is far from a finished product. It is precisely because we are a work in progress that there is
Role Overview We are seeking an experienced Technical Delivery Manager to lead and coordinate the end-to-end delivery of cloud engineering programmes on Google Cloud Platform. This role requires a balance of strong technical depth across GCP, Kubernetes, Terraform, and AI/ML
We are seeking an experienced Technical Delivery Manager to lead and coordinate the end-to-end delivery of cloud engineering programmes on Google Cloud Platform. This role requires a balance of strong technical depth across GCP, Kubernetes, Terraform, and AI/ML tooling, combined