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MetaOption LLC

engineering opportunity

Kubernetes Platform Engineer – Voice Services Modernization

Design and deploy cloud-native Kubernetes infrastructure to modernize legacy VM-based voice services. Focus on automating deployments via CI/CD and ensuring high availability and low latency for mission-critical applications.

Philadelphia, Pennsylvania, United StatesonsiteCONTRACTOR

Posted

About the role

What will you do at MetaOption LLC?

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

Please Note: We are only looking for W2 Candidate's!

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.

Which skills does this role require?

AnsibleTerraformCI/CDAWSAzureGCPOpenStackPythonInfrastructure-as-CodeContainerizationCloud Platform AdministrationProduction SupportHigh-Availability ArchitectureVoice ServicesModernizationDevOpsSBCW2Machine Learning

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