Kubernetes Platform Engineer – Voice Services Modernization

MetaOption, LLC

  • Philadelphia, PA
  • 30+ days ago
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    Skills

    • Amazon Web Services (AWS)unmatched
    • Ansibleunmatched
    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Best Practicesunmatched
    • Business Operationsunmatched
    • Cloud Computingunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • DevOpsunmatched
    • Documentationunmatched
    • GCP (Good Clinical Practices)unmatched
    • High Availabilityunmatched
    • IP Multimedia System (IMS)unmatched
    • Identify Issuesunmatched
    • Knowledge Transferunmatched
    • Machine Toolunmatched
    • Microsoft Windows Azureunmatched
    • Middlewareunmatched
    • Operational Supportunmatched
    • Production Supportunmatched
    • Python Programming/Scripting Languageunmatched
    • Red Hat Linux Operating Systemunmatched
    • Reporting Dashboardsunmatched
    • Riskunmatched
    • SIP (Session Initiation Protocol)unmatched
    • Scripting (Scripting Languages)unmatched
    • Software Administrationunmatched
    • Splunkunmatched
    • System Migrationunmatched
    • Systems Administration/Managementunmatched
    • Test Automationunmatched
    • Validation Testingunmatched
    • Virtual Machine (VM)unmatched
    • Voice Applicationsunmatched

    Description

    Kubernetes Platform Engineer – Voice Services Modernization Skills: Expert-level Kubernetes administration, deployment, lifecycle management, and troubleshooting, CI/CD pipeline development and automation experienceExperience level: Mid-senior Experience required: 10 Years Education level: Bachelor’s degree

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

    Position SummaryThe 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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    Numbers & Facts

    LocationPhiladelphia, PA

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