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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing data center infrastructure, including rack layout, network topology, and OOB management networks. Proficient in building and maintaining production-grade Kubernetes clusters and automating bare-metal provisioning.
Highest-signal resume keywords
Kubernetes Cluster ManagementOOB Management Network DesignBare-Metal Automation (MAAS, Tinkerbell, Cluster API)Linux Systems AdministrationTerraform and Ansible Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KubernetesLinux Systems AdministrationBare-Metal AutomationTerraformAnsibleBMCIPMIRedfishNetwork Topology DesignServer Commissioning
Tools & Technologies
Cisco NetworkingPalo Alto FirewallNetApp StorageDell EMC StoragePure StorageAWSGCPKubeVirtNVIDIA GPU OperatorGitOps (ArgoCD)
Certifications & Qualifications
CKA CertificationCKS CertificationCCNP CertificationCCIE Certification
Industry Keywords
Data Center EngineeringInfrastructure EngineeringPlatform EngineeringHigh-Density RacksHybrid-Cloud Interconnect
Tech Stack
Tools & technologiesAnsibleAWSCloudGoGoogle Cloud PlatformKubernetesLinuxNode.jsPythonTerraform
About the role
Key responsibilities & impact- Design rack layout, network topology, and overall configuration for colocation
- Design and implement an isolated Out-of-Band (OOB) management network (BMC, IPMI, Redfish) with full security hardening
- Coordinate with colocation and hardware vendors — servers, switches, cross-connects, uplinks, remote hands, and cage/rack administration
- Build bare-metal automation for fleet-wide zero-touch OS provisioning (MAAS / Tinkerbell / Cluster API)
- Set up production-grade self-hosted Kubernetes clusters from scratch and maintain the core stack: Cilium (CNI), GitOps (ArgoCD), etc.
- Own cluster lifecycle: upgrades, scaling, node maintenance, incident response
- Write SOPs, runbooks, and post-mortems; participate in 24×7 on-call rotation
- Establish hybrid-cloud interconnect between IDC and public cloud (VPN / Direct Connect / peering)
- Pave the way for scale-out: GPU workloads (NVIDIA GPU Operator, passthrough, MIG) and VM workloads running alongside containers (KubeVirt or similar)
Requirements
What you’ll need- 5+ years in data center / infrastructure / platform engineering
- Hands-on experience building physical infrastructure from scratch: rack layout, network topology, server commissioning, and coordinating cross-connects and remote hands with colo / vendors
- Practical experience designing and operating OOB management networks (BMC, IPMI, Redfish)
- Have stood up production-grade self-hosted Kubernetes from scratch, and can independently debug cluster-level issues (CNI, CSI, storage)
- Strong Linux systems administration and performance tuning (kernel, networking, storage I/O)
- Bare-metal automation experience with at least one of: MAAS, Tinkerbell, Cluster API
- Proficient with Terraform, Ansible, and at least one scripting language (Python / Go / Bash)
- Experience with Cisco network and related techniques (VLAN, LACP/LAG, BGP, ACL, etc)
- Experience with Palo Alto firewall configuration
- Experience with storage systems (NetApp, Dell EMC, Pure Storage)
- Fluent in English or Mandrain
- Nice to Have
- High-density racks (30kW+) and 400G+ networking experience
- Familiarity with immutable OS (Talos Linux / Flatcar / Bottlerocket)
- Proficiency across both AWS and GCP; cross-cloud data migration experience
- Experience building storage or Bigdata / offline data clusters
- Virtualization experience (KubeVirt or similars)
- Exposure to NVIDIA GPU Operator and K8s GPU workloads
- CKA / CKS certification
- CCNP / CCIE certification
- Professional-level Japanese
Benefits
Comp & perks- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
