Venkata Rajesh Kumar G
Sr Devops Engineer at Verizon Labs with expertise in Kubernetes
- Role
- Devops Engineer at Verizon Labs
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Venkata Rajesh Kumar G
Focused on Infrastructure and its operation in Virtual / Cloud computing…
Experience
Devops Engineer
Oct 2016 — Present · San Francisco, CA, US
Led platform reliability efforts across 7 production environments by proactively monitoring, troubleshooting, and resolving critical infrastructure and application issues, ensuring high availability and performance.• Architected and implemented redundant network topologies using MLAG and VLAN segmentation on Cumulus Linux switches, enhancing fault tolerance and multi-tenant traffic isolation.• Spearheaded datacenter automation initiative with Ansible Tower, integrating Artifactory for dynamic config management and orchestrating GitOps-driven Kubernetes workflows (Kustomize + Git), improving deployment velocity by 50%.• Built a centralized observability platform using Prometheus, Alertmanager, and Grafana, enabling real-time telemetry, SLA enforcement, and actionable alerting across environments.• Engineered a full-scale production replica environment using Linux-KVM and Vagrant for risk-free staging, regression testing, and performance validation of release artifacts.• Hardened OpenShift clusters for multi-tenancy by designing fine-grained RBAC, implementing Security Context Constraints (SCCs), and defining NetworkPolicies; integrated Vault and GPG for end-to-end secret management.• Developed automated infrastructure bootstrapping pipeline using PXE, DHCP, TFTP, and HTTP protocols to reduce manual effort and time-to-build during bare-metal datacenter provisioning.• Established CI/CD automation pipelines using Git and Bamboo, integrating with JFrog Artifactory for versioned binary storage and traceable delivery pipelines.• Delivered PoC and rollout strategy for GitOps adoption using ArgoCD, enabling declarative, version-controlled, and zero-touch application deployments to Kubernetes.• Extensive hands-on expertise with Kubernetes, Helm, Docker, Kustomize, YAML, Jenkins, Shell, Python, Jinja2, and Linux-based systems to drive automation and DevOps excellence across the SDLC.
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