Kubernetes Platform Engineer – Voice Services Modernization
About The Position
The Kubernetes Platform Engineer is responsible for designing, deploying, automating, and operationalizing cloud-native infrastructure for mission-critical voice applications. The role focuses on modernizing traditional VM-based voice middleware and backend services into scalable, resilient Kubernetes-based platforms using DevOps, CI/CD, infrastructure-as-code, and observability practices. The engineer will work across infrastructure, application modernization, automation, and operational support to migrate highly available, low-latency voice services into production cloud-native environments. The business objective is to deliver a production-ready Kubernetes runtime for voice middleware and backend services that improves scalability, resilience, automation, and operational efficiency while minimizing service disruption and migration risk. This is a hybrid contract position in Philadelphia, Pennsylvania, paying $65 per hour on a W2 basis. Candidates seeking a higher rate may be considered, with preference for those willing to accept $65 per hour or less.
Requirements
- Expert-level Kubernetes administration, deployment, lifecycle management, and troubleshooting.
- Strong Ansible experience, including role and playbook development.
- Experience developing and automating CI/CD pipelines.
- Cloud platform administration experience with AWS, Azure, GCP, or OpenStack.
- Infrastructure-as-Code experience using Terraform.
- Experience with monitoring, logging, dashboarding, and alerting platforms.
- Scripting or programming experience; Python is preferred.
- Experience supporting production applications and troubleshooting operational issues.
- Understanding of high-availability and low-latency application architectures.
- Must be able to work on a W2 basis.
Nice To Haves
- Red Hat OpenShift experience.
- Exposure to AI/ML platforms or AI-assisted operations tooling.
- Telecom or voice application experience, including SIP, SBCs, IMS, or voice middleware.
- Experience supporting cloud-native migrations from VM environments.
- Experience with GitOps and modern deployment methodologies.
- Experience with observability platforms such as Prometheus, Grafana, ELK, Splunk, or Datadog.
Responsibilities
- Assess existing voice applications, infrastructure dependencies, and VM-based deployment environments.
- Design Kubernetes 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 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.
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What This Job Offers
Education Level
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