【English-Only】 Cloud / DevOps Engineer

As a Cloud Engineer, you will manage and optimize cloud infrastructure for AI services, ensuring scalability, security, and high availability. You will drive technical decisions and support development teams across multiple regions to deliver robust API solutions.

Client Details

A global tech group with over a billion users worldwide, providing services in e-commerce, payments, finance, telecom, media, and more. Their AI-focused department leverages vast data resources to deliver cutting-edge solutions and foster a data-driven innovation culture, working with highly skilled international teams.

Description

• Manage and maintain infrastructure on GCP, Azure, and private cloud platforms.
• Deploy and scale applications efficiently across various environments.
• Implement monitoring, logging, and alerting systems to ensure system reliability.
• Collaborate with development teams for seamless integration and deployment.
• Optimize cloud resources for performance and cost-efficiency.
• Troubleshoot and resolve infrastructure and deployment issues to minimize downtime.
• Ensure compliance with security best practices and standards.

Job Offer

• Lead infrastructure projects for cutting-edge AI services.
• Work in a fully international, highly skilled team.
• Exposure to large-scale cloud environments (GCP, Azure, private cloud).
• Opportunities for professional growth and certification support.
• Long-term, stable engagement with clear impact on product development.

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Taishi Oyamada on +81 3 6832 8665.

• 5+ years of experience in DevOps or related roles.
• Proficiency with GCP and Azure environments.
• Experience with monitoring and alerting tools (Prometheus, Grafana, Azure Monitor, etc.).
• Expertise in CI/CD pipelines (Jenkins, GitLab CI/CD, Azure DevOps).
• Strong containerization skills using Docker and Kubernetes (GKE/AKS or private clusters).
• Knowledge of networking, DNS, and load balancing.
• Excellent problem-solving and troubleshooting skills.
• Familiarity with version control systems such as Git.

Preferred Skills

• Experience with hybrid cloud setups (public + private).
• Hands-on experience with disaster recovery and high-availability architectures.
• Relevant certifications (e.g., Google Cloud Professional DevOps Engineer, Azure DevOps Engineer).