Job Title: Sr DevOps Engineer (Compute Platform)
Location: Open to Remote
Duration- 3 +Month (C2H)
Job Description:
We are seeking a highly experienced Sr DevOps Engineer – Compute Platforms with strong operational expertise in enterprise compute platforms to implement, and support Kubernetes on baremetal and hypervisor platforms in a private cloud environment. This role focuses on the deployment, automation, support, and continuous improvement of large-scale compute environments spanning bare metal infrastructure, virtualization, private cloud, and Kubernetes platforms using Infrastructure-as-Code and GitOps practices.
This is a deeply technical role requiring expert-level understanding of compute hardware management, Kubernetes, OpenStack, hypervisors and extensive working knowledge onLinux Operating systems. You will also collaborate with platform and SRE teams to maintain secure, performant, and multi-tenant-isolated services that serve high-throughput, mission critical applications.
Must Have
• 6+ years of experience as a DevOps Engineer, Site Reliability Engineer, or Infrastructure Operations Engineer with a strong focus on compute
• Strong hands-on experience operating bare metal compute environments at scale
• Experience with PXE boot, automated OS provisioning, and server imaging systems
• Practical experience supporting Bare Metal as a Service (BMaaS) platforms leveraging Redfish APIs
• Strong Linux administration skills, especially with Ubuntu
• Operational experience with virtualization and private cloud platforms, including KVM on Ubuntu, OpenStack operations and troubleshooting, Harvester HCI
• Experience deploying and operating production Kubernetes environments
• Expertise with enterprise compute hardware, including Cisco UCS, Dell PowerEdge, Supermicro systems and HPE
• Proficiency with Infrastructure as Code tools (e.g., Terraform, Ansible, or similar)
• Experience building or supporting CI/CD pipelines for infrastructure and platform automation
• Strong scripting skills in Python, Bash, or similar languages
• Proven troubleshooting and root cause analysis skills in complex distributed systems
• Excellent written and verbal communication skills
• Bachelor’s degree in computer science or equivalent professional experience.
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