Job
Description
Req ID: 327316 We are currently seeking a GCP & GKE - Sr Cloud Engineer to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Job Title / RoleGCP & GKE - Sr Cloud Engineer Primary SkillCloud-Infrastructure-Google Cloud Platform Minimum work experience4+ yrs Total Experience4+ Years Mandatory Skills: Technical Qualification/ Knowledge Expertise in assessment, designing and implementing GCP solutions including aspects like compute, network, storage, identity, security , DR/business continuity strategy, migration , templates , cost optimization, PowerShell ,Terraforms, Ansible etc. Must have GCP Solution Architect Certification Should have prior experience in executing large complex cloud transformation programs including discovery, assessment, business case creation, design , build , migration planning and migration execution Should have prior experience in using industry leading or native discovery, assessment and migration tools. Good knowledge on the cloud technology, different patterns, deployment methods, compatibility of the applications Good knowledge on the GCP technologies and associated components and variations Anthos Application Platform Working knowledge on GCE, GAE, GKE and GCS Hands-on experience in creating and provisioning compute Instances using GCP console, Terraform and Google Cloud SDK. Creating Databases in GCP and in VM"™s Knowledge of data analyst tool (big query). Knowledge of cost analysis and cost optimization. Knowledge of Git & GitHub. Knowledge on Terraform and Jenkins. Monitoring the VM and Applications using Stack driver. Working knowledge on VPN and Interconnect setup. Hands on experience in setting up HA environment. Hands on experience in Creating VM instances in Google cloud Platform. Hands on experience in Cloud storage and retention policies in storage. Managing Users on Google IAM Service and providing them appropriate permissions. GKE Install Tools - Set up Kubernetes tools Administer a Cluster Configure Pods and Containers Perform common configuration tasks for Pods and containers. Monitoring, Logging, and Debugging Inject Data Into Applications Specify configuration and other data for the Pods that run your workload. Run Applications Run and manage both stateless and stateful applications. Run Jobs Run Jobs using parallel processing. Access Applications in a Cluster Extend Kubernetes Understand advanced ways to adapt your Kubernetes cluster to the needs of your work environment. Manage Cluster Daemons Perform common tasks for managing a DaemonSet, such as performing a rolling update. Extend kubectl with plugins Extend kubectl by creating and installing kubectl plugins. Manage HugePages Configure and manage huge pages as a schedulable resource in a cluster. Schedule GPUs Configure and schedule GPUs for use as a resource by nodes in a cluster. CertificationGCP Engineer & GKE Academic Qualification: B. Tech or equivalent or MCA Process/ Quality Knowledge Must have clear knowledge on ITIL based service delivery. ITIL certification is desired. Knowledge on quality Knowledge on security processes Soft Skills: Good communication skill and capability to work directly with global customers Timely and accurate communication Need to demonstrate the ownership for the technical issues and engage the right stakeholders for timely resolution. Flexibility to learn and lead other technology areas like other public cloud technologies, private cloud, automation
