
Kubernetes Platform Engineer – Voice Services Modernization
Philadelphia, PAJobSeen 3mo agoSeen in employer's feed 5 days ago
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Job overview
The Kubernetes Platform Engineer – Voice Services Modernization designs, deploys, automates, and operates cloud‑native infrastructure for mission‑critical voice applications, transforming VM‑based middleware into scalable, resilient Kubernetes platforms using DevOps, CI/CD, IaC, and observability practices.
Skills & qualifications
Skills
Qualifications
Full job 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
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Assess existing voice applications, infrastructure dependencies, and VM-based deployment environments
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Design Kubernetes-based architectures optimized for latency-sensitive and high-availability voice workloads
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Containerize middleware and backend applications and establish scalable deployment strategies
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Build and maintain CI/CD pipelines for automated testing, deployment, and lifecycle management
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Develop infrastructure automation using Ansible and Terraform
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Deploy, configure, and support Kubernetes and cloud platforms across AWS, Azure, GCP, OpenStack, or OpenShift
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Implement observability solutions including centralized logging, monitoring, alerting, and dashboarding
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Apply operational best practices for security, resiliency, scalability, and production support
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Support staged migration planning, testing validation, and production cutover activities
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Troubleshoot application, platform, and infrastructure issues across cloud-native environments
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Create operational documentation and provide knowledge transfer to engineering and operations teams
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Collaborate with development, operations, and architecture teams to modernize legacy voice services
Required Technical Skills
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Expert-level Kubernetes administration, deployment, lifecycle management, and troubleshooting
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Strong Ansible experience including role and playbook development
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CI/CD pipeline development and automation experience
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Cloud platform administration (AWS, Azure, GCP, OpenStack)
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Infrastructure-as-Code using Terraform
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Experience with monitoring, logging, dashboarding, and alerting platforms
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Scripting or programming experience (Python preferred)
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Production applications support and operational troubleshooting
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Understanding of high-availability and low-latency application architectures
Preferred / Nice-to-Have Skills
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Red Hat OpenShift experience
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AI/ML platform exposure or AI-assisted operations tooling
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Telecom or voice application experience (SIP, SBCs, IMS, voice middleware)
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Experience supporting cloud-native migrations from VM environments
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GitOps and modern deployment methodologies
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Experience with observability platforms such as Prometheus, Grafana, ELK, Splunk, or Datadog
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Outcome / Business Objective
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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.
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