VOIP Platform Engineer

Location:

Philadelphia, PA Duration: 6+ Months Contract Interview Mode:
Telephonic & Video/In-Person 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 Dev Ops, 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.

• 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, Open Stack, or Open Shift
• 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

• Expert‑level Kubernetes administration, deployment, lifecycle management, and troubleshooting
• Strong Ansible experience including role and playbook development
• CI/CD pipeline development and automation experience
• 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

• AI/ML platform exposure or AI‑assisted operations tooling
• Experience supporting cloud‑native migrations from VM environments
• Git Ops and modern deployment methodologies
• Experience with observability platforms such as Prometheus, Grafana, ELK, Splunk, or Datadog

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.