• Operate and support enterprise compute platforms across hardware, OS, virtualization, and container orchestration layers 

• Develop and improve automation for provisioning, patching, upgrades, validation, and routine platform work using tools such as Ansible, Terraform, Helm, Git, Bash, Python, or similar technologies 

• Deploy and Support Ubuntu-based systems, hypervisors, Kubernetes clusters, and related platform services in day-to-day operations 

• Implement and maintain PXE-based provisioning environments leveraging Redfish APIs for large-scale server deployments 

• Operate and support virtualization and private cloud platforms, including KVM on Ubuntu, OpenStack environments and Harvester HCI 

• Monitor system performance, capacity, and availability; proactively address reliability risks 

• Troubleshoot complex cross-stack issues spanning hardware, OS, virtualization, OpenStack, and Kubernetes 

• Manage to SLAs, KPIs and error budgets 

• Participate in on-call escalation support for complex platform-related issues 

• Collaborate globally on change management, documentation, and operational best practices. 

• Develop and maintain runbooks, operational procedures, and technical documentation 

 Minimum Qualifications 

• Minimum 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 

• Experience building and supporting CI/CD pipelines for infrastructure and platform automation 

• Proficiency with Infrastructure as Code tools (e.g., Terraform, Ansible, or similar) 

• 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 

• Strong scripting skills in Python, Bash, or similar languages 

• Strong understanding on SRE functions like toil reduction, error budgets and meeting SLAs 

• 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.