Senior Site Reliability Engineer – Compute Platforms

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.

We are seeking a highly experienced Senior Site Reliability Engineer – Compute Platforms to design, implement, and support Kubernetes on baremetal and hypervisor platforms in a private cloud environment. This role is responsible for the architecture, design, and standardization of enterprise compute and hypervisor environments spanning bare metal infrastructure, operating systems, hypervisors, private cloud orchestration, and Kubernetes 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

• Lead the architecture and design of enterprise compute and hypervisor platform solutions across hardware, OS, virtualization, cloud orchestration, and container orchestration layers

• Define standards and automation frameworks for bare metal provisioning and lifecycle management

• Design and implement Bare Metal as a Service (BMaaS) capabilities for scalable infrastructure consumption

• Architect and design Kubernetes platforms on bare metal with QoS and Affinity (ArgoCD)

• Architect and validate automated deployments of operating systems and hypervisors including Ubuntu and Harvester

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