Opening for OpenStack Cloud Platform Engineer || San Jose, CA-95134 -Hybrid

• Deploy, configure, operate, and troubleshoot production OpenStack environments.
• Support OpenStack services including Nova, Neutron, Cinder, Keystone, Glance, Heat, Placement, and Octavia.
• Manage compute, storage, networking, identity, images, quotas, and tenant environments.
• Monitor platform capacity, availability, performance, and service health.
• Perform upgrades, patching, lifecycle management, migrations, and capacity expansions.
• Troubleshoot complex issues across compute, network, storage, virtualization, and control-plane layers.
• Automate provisioning and platform operations using Ansible, Terraform, Python, Bash, or similar tools.
• Support KVM virtualization and integrations with Ceph or other distributed-storage platforms.
• Build monitoring, alerting, logging, and operational dashboards.
• Conduct root-cause analysis and implement preventive corrective actions.
• Create platform documentation, operational runbooks, recovery procedures, and architecture diagrams.
• Collaborate with Linux, networking, storage, security, OpenShift, and application teams.

• Strong production experience with OpenStack administration and operations.
• Hands-on knowledge of Nova, Neutron, Cinder, Keystone, Glance, and Placement.
• Strong Linux administration and troubleshooting experience.
• Experience with KVM and virtualization technologies.
• Knowledge of software-defined networking, TCP/IP, DNS, routing, load balancing, and network security.
• Experience with block, object, and distributed-storage technologies.
• Proficiency with Ansible, Terraform, Python, or Bash.
• Experience with platform monitoring, logging, incident response, and root-cause analysis.
• Understanding of high availability, scalability, capacity management, and disaster recovery.

Preferred Skills:

• OpenShift or Kubernetes administration experience.
• Experience with Red Hat OpenStack Services on OpenShift.
• Ceph architecture and operations experience.
• Experience supporting EDA, AI/ML, HPC, GPU, or large-scale batch workloads.
• Knowledge of Slurm, LSF, or similar workload schedulers.
• Red Hat, OpenStack, OpenShift, or Kubernetes certification.
• Public-cloud experience with Azure, AWS, or Google Cloud Platform.

Success Measures:

• High platform availability and service reliability.
• Faster provisioning and improved infrastructure utilization.
• Successful upgrades and expansions with minimal disruption.
• Reduction in recurring incidents and manual operational effort.
• Improved monitoring, automation, and platform documentation.

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