Tätigkeitsbereich:IT/Telekommunikation Fachabteilung:Data, Analytics & BI Gesellschaft:Mercedes-Benz Finance Co., Ltd. Standort:Mercedes-Benz Finance Co., Ltd., Shinagawa, Tokyo Startdatum:sofort Veröffentlichungsdatum:22.06.2026 Stellennummer:MER00044PJ Arbeitszeit:Vollzeit Bewerben Aufgaben As a Reporting & Data Analyst, you transform complex data into actionable insights and significant
SummaryAre you a Japanese insurance industry professional with crossover business knowledge and technical capability? Do you have great interpersonal skills, the ability to dig into detail and a focus on customer value? Are you looking for
Job Description Why This Role? Why Now? Are you an enterprise technology professional seeking to elevate your technical career within an internationally supportive, customer-centric environment? Zendesk invites you to join our growing Tokyo team as a
※日本語版が続きます。 About AIRoA AI Robot Association, AIRoA, is an organization dedicated to collecting large-scale real-world robotics data, including data from humanoid robots, and advancing the development of generative AI foundation models for robotics. AIRoA has been
※日本語版が続きます。 About AIRoA AI Robot Association (AIRoA) is an organization dedicated to collecting large-scale real-world robot data, including data from humanoid robots, and advancing the development of generative AI foundation models for robotics. AIRoA has been
Appealing Points: Own Enterprise GCP Infrastructure as Code (IaC) – Design and build reusable Terraform modules and Ansible automation to manage large-scale GCP environments including GKE, IAM, networking, and databases. Drive End-to-End Cloud Automation & CI/CD
Appealing Points: Lead Enterprise GCP IAM Strategy – Design and implement secure, scalable IAM frameworks across Google Cloud using least-privilege principles, organization policies, and identity governance. Build Secure Cloud-Native Solutions – Develop automation and cloud-native applications
Appealing Points: Lead Enterprise GKE Platform Engineering – Design, deploy, and optimize production-grade Google Kubernetes Engine (GKE) environments with a focus on scalability, security, and reliability. Work with Modern Cloud & DevOps Technologies – Utilize GKE, Terraform,
Appealing Points: Lead Enterprise GCP Cloud Programmes – Own end-to-end delivery of large-scale Google Cloud initiatives, managing technical strategy, execution, and successful go-live across multiple workstreams. Drive Cross-Functional Technical Leadership – Lead cloud engineers, IAM specialists,
Appealing Points: Lead End-to-End MLOps on Vertex AI – Design and implement scalable ML pipelines covering data ingestion, training, deployment, monitoring, and model lifecycle management on Google Cloud. Build Enterprise-Grade AI Platforms – Work with Vertex AI,