Kubernetes Platform Engineer - Voice Services Modernization

Philadelphia, PA, US • Posted 1 day ago • Updated 15 minutes ago
Full Time
On-site
Fitment

Dice Job Match Score™

🧠 Analyzing your skills...

Job Details

Skills

  • Software Modernization
  • Automated Testing
  • Production Support
  • Testing
  • Documentation
  • Knowledge Transfer
  • Collaboration
  • DevOps
  • Lifecycle Management
  • Ansible
  • Continuous Integration
  • Continuous Delivery
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • OpenStack
  • Terraform
  • Scripting
  • Python
  • High Availability
  • Red Hat Linux
  • Machine Learning (ML)
  • Artificial Intelligence
  • Telecommunications
  • SIP
  • Cloud Computing
  • Virtual Machines
  • Grafana
  • Splunk
  • Kubernetes
  • Middleware
  • Scalability
  • Operational Efficiency
  • Migration

Summary

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, Google Cloud Platform, 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, Google Cloud Platform, 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10376339
  • Position Id: e87c0296ae4503a4de7003fc3ec7ef32
  • Posted 1 day ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Hybrid in Philadelphia, Pennsylvania

Today

Contract

Philadelphia, Pennsylvania

Today

Full-time

USD 104,900.00 - 174,700.00 per year

Philadelphia, Pennsylvania

Today

Full-time

USD 104,900.00 - 174,700.00 per year

Woodbridge Township, New Jersey

Today

Full-time

USD 114,750.00 - 153,000.00 per year

Search all similar jobs