Kubernetes Platform Engineer

Kubernetes Platform Engineer Voice Services Modernization

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, Clients, 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.