Job Description
Job Title:
Kubernetes Platform Engineer Voice Services Modernization Location:
Philadelphia, PA (Hybrid) Experience Required:
10+ Years Position Summary The Kubernetes Platform Engineer Voice Services Modernization is responsible for designing, deploying, automating, and operationalizing cloud-native infrastructure for mission-critical voice applications. This role focuses on transforming traditional VM-based voice middleware and backend services into scalable, resilient Kubernetes-based platforms using modern DevOps, CI/CD, infrastructure-as-code, and observability practices. The engineer will work across infrastructure, application modernization, automation, and operational support to ensure highly available, low-latency voice services are successfully migrated into production cloud-native environments. Core Responsibilities:
Assess existing voice applications, infrastructure dependencies, and VM-based deployment environments Design Kubernetes-based architectures optimized for high availability and low-latency voice workloads Containerize middleware and backend applications and implement scalable deployment strategies Build and maintain CI/CD pipelines for automated testing, deployment, and lifecycle management Develop infrastructure automation using Ansible and Terraform Deploy, configure, and support Kubernetes and cloud platforms across AWS, Azure, Google Cloud Platform, OpenStack, or OpenShift Implement observability solutions including centralized logging, monitoring, alerting, and dashboards Apply operational best practices for security, resiliency, scalability, and production support Support migration planning, validation testing, and production cutover activities Troubleshoot application, infrastructure, and platform issues across cloud-native environments Create operational documentation and provide knowledge transfer to engineering and operations teams Collaborate with development, operations, and architecture teams to modernize legacy voice services Required Technical Skills Expert-level Kubernetes administration, deployment, lifecycle management, and troubleshooting Strong Ansible experience including role and playbook development CI/CD pipeline development and automation experience Cloud platform administration (AWS, Azure, Google Cloud Platform, OpenStack) Infrastructure-as-Code using Terraform Experience with monitoring, logging, dashboarding, and alerting platforms Scripting or programming experience (Python preferred) Production applications support and operational troubleshooting Understanding of high-availability and low-latency application architectures Preferred / Nice-to-Have Skills Red Hat OpenShift experience AI/ML platform exposure or AI-assisted operations tooling Telecom or voice application experience (SIP, SBCs, IMS, voice middleware) Experience supporting cloud-native migrations from VM-based environments GitOps and modern deployment methodologies Experience with observability tools such as Prometheus, Grafana, ELK, Splunk, or Datadog
