Kubernetes Platform Engineer – Voice Services Modernization

MetaOption, LLC; Philadelphia (Philadelphia County); On-site; USD 120,000 - 150,000; Full time

Job summary

MetaOption, LLC is seeking a Kubernetes Platform Engineer for Voice Services Modernization. This role focuses on designing and implementing cloud-native infrastructure for mission-critical voice applications, leveraging Kubernetes and modern DevOps practices.

The ideal candidate will have expert-level Kubernetes skills and a deep understanding of CI/CD, infrastructure automation, and cloud platforms. Responsibilities include collaborating with teams to modernize legacy voice services and ensuring high availability and performance in production environments.

Qualifications

• 10 years of experience in Kubernetes administration, deployment, and lifecycle management.
• Expertise in CI/CD pipeline development and automation.
• Strong knowledge of cloud platforms and infrastructure automation.

Responsibilities

• Design and deploy cloud-native infrastructure for voice applications.
• Implement CI/CD pipelines and develop infrastructure with Ansible and Terraform.
• Collaborate with teams to modernize voice services and troubleshoot issues.

Skills

Kubernetes administration

Ansible

CI/CD pipelines

Cloud administration (AWS, Azure, GCP, OpenStack)

Infrastructure-as-Code (Terraform)

Monitoring and logging platforms

Scripting (Python preferred)

High-availability architectures

Education

Bachelor’s degree

Tools

Ansible

Terraform

Cloud platforms (AWS, Azure, GCP)

Job description

Kubernetes Platform Engineer – Voice Services Modernization

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

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.