Cloud Engineer

• Design, build, and operate Mercari's on-prem DC/GPU infrastructure, including data-center facilities (racks, power, cooling) and the supporting network
• Design and build the network foundation for GPU workloads: compute fabric (InfiniBand/RoCE), storage/in-band, service network, and isolated OOB management
• Design, configure, and operate routing for the on-prem GPU fabric and its cloud/platform interconnects using BGP (and OSPF/IS-IS, VLAN/VRF as needed), including ASN planning, route summarization, and routing policy
• Coordinate with data-center providers and SI partners on facility readiness, equipment procurement, lead times, and remote-hands/installation work
• Manage Mercari's internal data center end to end, including vendor/SI discussions, commercial negotiations, and contract & procurement handling
• Perform hands-on, on-site data-center networking work — running and changing cabling, and configuring routers, switches, firewalls, and other network devices (this role requires regular physical visits to our data center)
• Integrate the on-prem DC/GPU environment securely with existing corporate, cloud (GCP/AWS), and platform networks
• Establish monitoring, alerting, logging, and operational handoff for GPU systems and network devices
• Support GPU PoC execution and help define the path from PoC to production
• Automate provisioning and operations, and manage configuration as code (IaC)
• Collaborate closely with the Corporate IT team on data-center facilities, connectivity, and on-site operations (this collaboration is required for the role)
• Collaborate with ML Platform, Infrastructure, Security, and Procurement stakeholders

Software Engineer, Autonomous Cloud Network – DC Infrastructure

• Support teams in designing and reviewing AI and cloud-based solution architectures
• Design scalable, secure, maintainable, and cost-effective systems aligned with business requirements
• Define and review non-functional requirements including performance, reliability, security, observability, and cost optimization
• Provide technical guidance on system architecture, integration patterns, cloud services, and deployment strategies
• Guide engineering teams in utilizing cloud platforms such as AWS, GCP, and Azure
• Support infrastructure design, deployment strategies, and production readiness activities
• Promote infrastructure best practices including automation, consistency, maintainability, and operational excellence
• Design and improve CI/CD pipelines and deployment processes
• Support the design, deployment, and maintenance of AI-powered solutions
• Act as a technical advisor across multiple teams and projects.

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Software Engineer, Autonomous Cloud Network – DC Infrastructure

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