Kubernetes Platform Engineer

Job title: Kubernetes Platform Engineer

Location:Philadelphia, PA

Duration: 6+ Months

Description:

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.

Must Have

• 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

Nice-to-Have

• 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.