Proven track record leading end-to-end modernization projects that migrated production VM‑based middleware/backend services (preferably voice or other latency‑sensitive apps) into Kubernetes-based production environments — delivered migration planning, staged cutovers, and successful production rollouts. Delivered automation and release pipelines that enabled repeatable deployments and infrastructure lifecycle management in production — produced CI/CD pipelines, infrastructure‑as‑code modules, and automation/playbooks to support testing, deployment, and production cutover activities.
Numbers & Facts
Location
Philadelphia, Pennsylvania
Description
Kubernetes Platform Engineer requires:
Voice Services Modernization
Expert-level Kubernetes administration, deployment, lifecycle management, and troubleshooting
Strong Ansible experience including role and playbook development
CI/CD pipeline development and automation experience
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.
Proven track record leading end-to-end modernization projects that migrated production VM‑based middleware/backend services (preferably voice or other latency‑sensitive apps) into Kubernetes-based production environments — delivered migration planning, staged cutovers, and successful production rollouts. (JD implies senior-level scope; years below.)
Hands‑on experience operating and running production Kubernetes platforms for high‑availability, low‑latency services — delivered platform lifecycle management, troubleshooting/incident response, operational runbooks, and knowledge transfer to operations teams.
Delivered automation and release pipelines that enabled repeatable deployments and infrastructure lifecycle management in production — produced CI/CD pipelines, infrastructure‑as‑code modules, and automation/playbooks to support testing, deployment, and production cutover activities