Kubernetes Platform Engineer

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
• 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
• 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 VMbased middleware/backend services (preferably voice or other latencysensitive apps) into Kubernetes-based production environments delivered migration planning staged cutovers and successful production rollouts. (JD implies senior-level scope; years below.)
• Handson experience operating and running production Kubernetes platforms for highavailability lowlatency 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 infrastructureascode modules and automation/playbooks to support testing deployment and production cutover activities