Kubernetes Platform Engineer Voice Services Modernization

Position Title: Kubernetes Platform Engineer – Voice Services Modernization (Confidential Client)

Location: Philadelphia, PA | Hybrid

Employment Type: Contract

Compensation

• Pay Rate: $65/hr (W2 only). Candidates requiring a rate higher than $65/hr may be considered; preference will be given to candidates who are willing to accept $65/hr or less.

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.

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.

Primary Functions

• 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.

Must-Haves

• 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.


• Must be able to work on a W2 basis.

Preferred Qualifications

• 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.