What are the responsibilities and job description for the Kubernetes Platform Engineer - Voice Services Modernization position at Lumiere Systems?
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
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
- 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
- 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.