Sr. DevOps Engineer ( Kubernetes)

Summary/Objective

The DevOps Engineer is responsible for performing the automation development, ci/cd pipelines, code releases, and combining and understanding of both engineering and coding. From creating and implementing systems software to analyzing data to improve existing ones, a DevOps Engineer increases productivity in the workplace. The DevOps Engineer reports to the Director – of Cloud and Digital QA.

CORE FUNCTIONS:

• Work across teams to ensure high productivity, reliability, and scalability of applications
• Develop metrics and KPIs to quantify product quality and engineering efficiency
• Design & develop CI/CD pipelines & ensure source code control management.
• Perform architectural/code review & validation, code deployment, etc in phased releases
• Provide suggestions for potential projects that can bring impactful results

Competencies

• Experience with DevOps tools like GitLab & Git-Runner, Tekton.dev, ArgoCD, Argo Workflow,
• GitHub Actions, Keptn, etc. (experience on all tools is not necessary since they all are similar in concepts).
• Experience in Container build tools like kaniko, scaffold, buildkit, docker, podman, , buildpack, skaffold,
• tilt, runc, docker buildx, etc. (experience on all tools is not necessary since they all are similar in concepts).
• Experience or exposure to Hashicorp Vault, Terraform, Packer, etc.
• Experience or exposure to Crossplane , Pulumi, Ansible, Helm, Helm-Charts, etc.
• Kubernetes operator development, Kubernetes custom API development, Kubernetes custom
• resource definitions development, Kubernetes Admission controllers & webhooks development, etc. is a plus.
• Experience in writing Kernel Functions using eBPF and/or WebAssembly using GoLang or Rust is a plus.
• Experience in writing blogs and documentation is very important & mandatory, especially using
• Experience with setting up lightweight K8s TalOS clusters, Rancher clusters, k3s, Kubernetes (K8s), AWS EKS, Azure AKS, Digital Ocean K8s, Google GKE, Linode K8s. Clusters for single, multi-
• Container Kubernetes OR Hashicorp Vault, Terraform, Packer
• cluster, multi-region, multi-zone, hybrid-clusters, on-premise, etc. (hands-on on all of these is not mandatory. The more tools you are experienced with, the better).