Cloud & DevOps Engineer
Location : Delhi, India
Experience : 12 Year
Rate: $19 / Hourly
Availability : Immediate
Work From : Offsite
Category : Information Technology & Services
2 X Google Cloud Certied Professional Cloud Architect. Expert in design, development, and management of robust, secure, scalable, highly available, and dynamic solutions to drive business objectives. Expertise in concepts of cloud architecture, detailed understanding of compute and networking services, experience in Provisioning and conguring Networks, Hybrid connectivity, Virtual Machines, Kubernetes Clusters, Load balancers. Experience in administering Kubernetes clusters and running applications on it. Expertise in Infra as a Code tools such as Terraform and Terragrunt. Also good experience with AWS and Azure
● Around 5+ years of professional experience as GCP and AWS Linux Administrator with expertise in cloud and networking
● Vast experience in deploying software products in UNIX/ Linux/ Windows environment
● Good knowledge of Ansible, SaltStack, Docker and Terraform
● Knowledge of Source Version Control Git, Git Hub
● Proficient in Linux, Shell, Python, and PowerShell Scripting
Lead technical design sessions, architecting and documenting technic solutions that are aligned with client business objectives, and identifyin gaps between the client's current and desired end states
Strategizing, designing, architecting and leading the deployment scalable solutions on GCP Setting up VPCs in the Google Cloud and linke to on-premise VPN’s usingIPSec
Responsible for setting up GCP’s cloud identity and access manageme (IAM) to manage users, roles and privileges Responsible for creating da pipelines to ingest data into BigQuery using Cloud Pub/Sub and Clou DataFlow
Created data pipelines using PYTHON and SQL that consume an transform the end customer’s data received in CSV format and feed downstream to various data sources including Google BigQuery.
Orchestrating the Cloud with Kubernetes, Creating Pods, Interacting wi Pods, Creating service to provide stable endpoints for Pods, Addin Labels to Pods, Deploying Applications with Kubernetes, Creatin Deployments.
Continuous Delivery Pipelines with Spinnaker and Kubernetes Engin Created Pipeline architecture that automates processthat reliably build tests, and updates the software. Implemented Cloud Pub/Sub to trigg Spinnaker pipelines, Deployed Spinnaker using Helm, Conkgure deployment pipelines and triggered pipeline from code change Observation of the canary deployments
Implemented Multiple VPC Networks. Created custom mode VP networks with krewall rules to allow SSH, ICMP, and RDP ingress trafk Created VM instance with multiple network interfaces.
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