Kubernetes Platform Engineer - Voice Services Modernization

MetaOption, LLC
Philadelphia, PA, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Automation of Tests Microsoft Azure Cloud Computing Cloud Engineering Computer Programming Continuous Integration DevOps Middleware Python (Programming Language) OpenShift
+18 more
OpenStack Ansible Prometheus Azure Machine Learning Datadog Data Logging Scripting Google Cloud Cloud Platform System Grafana Backend Containerization Kubernetes Infrastructure Automation Frameworks Low Latency Deployment Automation Terraform Splunk

Job description

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, Google Cloud Platform, 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

Requirements

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!, * 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, Google Cloud Platform, 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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