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Kubernetes Platform Engineer - Voice Services Modernization
MetaOption LLCPhiladelphia, PA🇺🇸United StatesPosted 13 Aug 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
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
Required Technical Skills
Preferred / Nice-to-Have Skills
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, 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
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, 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.
Skills
OpenStack
AWS
ELK
Splunk
Ansible
Azure
Datadog
Google Cloud
Grafana
Kubernetes
Prometheus
Python
Terraform
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