Kubernetes Platform Engineer Voice Services Modernization

Kubernetes Platform Engineer Voice Services Modernization

Experience level: Mid-senior

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 latency-sensitive and high-availability voice workloads
• Containerize middleware and backend applications and establish 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 GCP OpenStack or OpenShift
• Implement observability solutions including centralized logging monitoring alerting and dashboarding
• Apply operational best practices for security resiliency scalability and production support
• Support staged migration planning testing validation and production cutover activities
• Troubleshoot application platform and infrastructure 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 GCP 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 environments
• GitOps and modern deployment methodologies
• Experience with observability platforms such as Prometheus Grafana ELK Splunk or Datadog
• Outcome / Business Objective
• Deliver a production-ready Kubernetes-based runtime environment for voice middleware and backend services that improves scalability resilience automation and operational efficiency while minimizing service disruption and migration risk.