Experience level: Mid-senior Experience required: 10 Years Education level: Bachelors degree Job function: Information Technology Industry: Information Technology and Services Pay rate : $65 per hour Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No End Client: Comcast Please Note: We are only looking for W2 Candidates. 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 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.
Experience level: Mid-senior Experience required: 10 Years Education level: Bachelors degree Job function: Information Technology Industry: Information Technology and Services Pay rate : $65 per hour Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No End Client: Comcast Ple...
Experience level: Mid-senior Experience required: 10 Years Education level: Bachelors degree Job function: Information Technology Industry: Information Technology and Services Pay rate : $65 per hour Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No End Client: Comcast Please Note: We are only looking for W2 Candidates. 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 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.