Telco Cloud Engineer

Role Overview

The Telco Cloud Engineer is responsible for designing, building, operating, and optimizing cloud-native infrastructure platforms supporting telecom workloads. This role focuses on Kubernetes/Open Shift platforms, storage, Git Ops automation, and bare-metal infrastructure tuned for low-latency, carrier‑grade environments.

• Design, deploy, and operate Kubernetes and Open Shift clusters in telco‑grade environments.
• Build and manage PaaS/CaaS platforms supporting cloud‑native network functions (CNFs).
• Implement observability, logging, and alerting across platforms.
• Automate infrastructure and application lifecycle using Git Ops and Ansible.
• Provision and tune bare‑metal infrastructure for performance and reliability.

• PaaS / CaaS (Kubernetes & Open Shift)
• Deep understanding of Kubernetes internals:
  Pods, Deployments, Ingress, Storage Classes, PVs, PVCs.
• Open Shift cluster deployment and worker node scaling.
• Cloud‑native networking: CNI, Multus, Istio, MetalLB.
• Container registry management (image upload, project setup, role assignments).
• Kubernetes Operators lifecycle management.
• Bare‑metal provisioning and firmware management.
• Monitoring and observability using Prometheus, Thanos, Grafana, and Alert manager (SLO‑based alerting).
• Centralized logging with Elasticsearch and Fluentd/Fluent Bit.

• CSAR package definition and lifecycle management.
• Helm‑based deployment automation.
• Advanced Kubernetes troubleshooting and root cause analysis.

• Ceph installation on RHEL environments.
• Ceph/Rook provisioning: RBD, RGW, CephFS.
• Open Shift Data Foundation integration.

• Git Ops workflows using ArgoCD.
• Git, Helm, Kustomize, and YAML expertise.
• Infrastructure automation using Ansible.

• Hardware provisioning using IPMI/Redfish, PXE, BMCs (Dell/HPE).
• Firmware and BIOS/UEFI tuning for low‑latency workloads.
• RHEL CoreOS and Linux kernel/sysctl tuning.
• Node Tuning Operator configuration.
• Linux networking: bridges, VLANs, bonding, MTU tuning.

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• Strong experience in telecom, cloud infrastructure, or large‑scale distributed systems.
• Hands‑on experience with Kubernetes/Open Shift in production environments.
• Strong troubleshooting and analytical skills.
• Ability to work in complex, mission‑critical environments.
• Excellent collaboration and documentation skills.