Senior DevOps Engineer - Compute Platforms | India

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. About the Role We are seeking a highly experienced Sr DevOps Engineer – Compute Platforms with strong operational expertise in enterprise compute platform s 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 on Linux 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. Key Responsibilities 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