Kubernetes Platform Engineer – Voice Services Modernization

End Client Comcast

IMPORTANT There is a resume format attached in the Job Insights section. This resume serves as the required format that must be strictly followed when preparing candidate resumes for submission to the Reflik portal. Kindly download, review, and use this format for every submission. Resumes that do not adhere to this format will not be considered.

You will also find a US Partner Submittal Form template link. Kindly complete the template with the required information and paste it at the top of the resume. This is mandatory — resumes submitted without the completed template will be rejected.

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, 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

Click here to view the Submittal form

Click here to view the sample resume

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.