Kubernetes Platform Engineer – Voice Services Modernization at MetaOption LLC

Philadelphia, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Oct, 26

Salary

0.0

Posted On

04 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kubernetes, Ansible, Terraform, CI/CD, AWS, Azure, GCP, OpenStack, OpenShift, Python, Infrastructure-as-Code, Observability, Containerization, Cloud Platform Administration, Production Support, High-Availability Architecture

Industry

IT Services and IT Consulting

Description

Kubernetes Platform Engineer – Voice Services Modernization Skills: Expert-level Kubernetes administration, deployment, lifecycle management, and troubleshooting, CI/CD pipeline development and automation experience Experience level: Mid-senior Experience required: 10 Years Education level: Bachelor’s degree 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 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.

Responsibilities

Design and deploy cloud-native Kubernetes infrastructure to modernize legacy VM-based voice services. Focus on automating deployments via CI/CD and ensuring high availability and low latency for mission-critical applications.