3mo ago

Kubernetes Platform Engineer – Voice Services Modernization

EngineeringDevops Engineer

2 views0 saves0 applied

Quick Summary

Overview

Kubernetes Platform Engineer – Voice Services Modernization Skills: Expert-level Kubernetes administration, deployment, lifecycle management, and troubleshooting,

Technical Tools

EngineeringDevops Engineer

Kubernetes Platform Engineer – Voice Services Modernization

Skills: Expert-level Kubernetes administration, deployment, lifecycle management, and troubleshooting, CI/CD pipeline development and automation experience

Experience level: Mid-senior
Experience required: 10 Years
Education level: Bachelor’s degree

Responsibilities

~1 min read

→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

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

Nice to Have

~1 min read

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.