You will be part of a World Class Container Platform team that builds and operates highly scalable Kubernetes based container platforms(EKS, OCP, OKE and GKE) at a large scale for Global Technology Solutions at Verizon, a top 20 Fortune 500 company. This individual will have a high level of technical expertise and daily hands-on implementation working in a product team developing services in two week sprints using agile principles. This entitles programming and orchestrating the deployment of feature sets into the Kubernetes CaaS platform along with building Docker containers via a fully automated CI/CD pipeline utilizing AWS, Jenkins Ansible playbooks, AWS, CI/CD tools and process (Jenkins, JIRA, GitLab, ArgoCD), Python, Shell Scripts or any other scripting technologies. You will have autonomous control over day-to-day activities allocated to the team as part of agile development of new services
Automation and testing of different platform deployments, maintenance and decommissioning
Full Stack Development
Participate in POC(Proof of Concept) technical evaluations for new technologies for use in the cloud
Bachelor's degree or four or more years of work experience.
Three or more years of relevant kubernetes-centric development experience
Address Jira tickets opened by platform customers
Hands-on experience with one or more of the following platforms: EKS, Red Hat OpenShift, GKE, AKS, OCI
RBAC and Pod Security Standards, Quotas, LimitRanges, OPA & Gatekeeper Policies
Expertise in one or more of the following: Ansible, Terraform, Helm, Jenkins, Gitlab VSC/Pipelines/Runners, Artifactory
Proficiency with monitoring/observability tools such as New Relic, Prometheus/Grafana, logging solutions (Fluentd/Elastic/Fluentbit/OTEL/ADOT/Splunk) to include creating/customizing metrics and/or logging dashboards
Infra components like Flux, cert-manager, Karpenter, Cluster Autoscaler, VPC CNI, Over-provisioning, CoreDNS, metrics-server
Familiarity with Wireshark, tshark, dumpcap, etc., capturing network traces and performing packet analysis
Working experience with Service Mesh lifecycle management and configuring, troubleshooting applications deployed on Service Mesh and Service Mesh related issues
Demonstrated expertise with the K8S ecosystem (inspecting cluster resources, determining cluster health, identifying potential application issues, etc.)
Experience creating self-healing automation scripts/pipelines
Bash scripting experience to include automation scripting (netshoot, RBAC lookup, etc.)
Demonstrated Strong troubleshooting and problem-solving skills
Demonstrated expertise with the K8S security ecosystem (SCC, network policies, RBAC, CVE remediation, CIS benchmarks/hardening, etc.)
Strong troubleshooting and problem-solving skills
Certified Kubernetes Administrator (CKA)
Excellent cross collaboration and communication skills
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