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Kubernetes Platform Engineer – Voice Services Modernization

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Onsite

Kubernetes Platform Engineer – Voice Services Modernization

MetaOption LLC

Kubernetes Platform Engineer – Voice Services Modernization

Skills

Google Cloud PlatformPythonDatadogGrafanaSplunkMachine LearningAIAWSAnsiblePrometheusKubernetesOpenShiftTerraformAzure

20 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Philadelphia, PA, USA

Work mode:

Onsite

Published on:

2 October 2026

What they need


**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.

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