Kubernetes Platform Engineer
Posted Updated
Summary
Platform engineer modernizing voice/telecom services: builds and operates a production Kubernetes-based runtime for voice middleware and backend services, migrating them off VMs. Core stack: Kubernetes/OpenShift, Ansible, Terraform, CI/CD, AWS/Azure/GCP, observability (Prometheus, Grafana, ELK, Splunk, Datadog), Python, and voice tech (SIP, SBCs, IMS).
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 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
