Omni Inclusive
GCP Data Engineer
Omni Inclusive, Irving, Texas, United States, 75084
Experience: 8 + years .GCP Platform EngineerResponsibilities:
Develop, deploy, and maintain Google Cloud solutions and services that meet business requirementsDesign and implement secure, scalable, and robust cloud applications utilizing Google Cloud Platform servicesWork closely with other developers, architects, and stakeholders to ensure effective collaboration and communicationacross all stages of the development cycleDevelop and maintain automated build, test, and deployment pipelines using DevOps methodologies( Terraform, Ansible).Work with product application teams to continuously optimize their workloads for cost-efficiency and performance,making recommendations for resource adjustments as neededImplement data protection and identity access management policies to safeguard cloud resources and data.Set up and manage access to cloud resources using accounts, users, and groups.He/she should be knowledgeable about potential vulnerabilities of virtual machines and container deployment systems.Experience implementing and supporting IAM tools and processesWrite BigQuery SQL complex queriesGoogle Kubernetes Experience (GKE) to configure, deploy, maintain and support web applications, microservicesDesign and implement solutions to fascinating problems of scale and fault tolerance to simplify the administrationand user experience of Kubernetes platforms.Develop Helm charts, Docker images, config maps , custom controllers, resource definitions, gateways, API endpoints,and other Kubernetes control plane components.Create test plans, deployment automation, dashboards, alerts, and insights into our product's operations as well asparticipate in the Kubernetes Core Interfaces.and version controlMandatory Skills:
GCP + Python Engineering
Please share Skills matrix:
GCP services administrationGKE administrationExtensive knowledge in Python to automate issues.hands on experience in CI/CDKnowledge in Tera form module
Develop, deploy, and maintain Google Cloud solutions and services that meet business requirementsDesign and implement secure, scalable, and robust cloud applications utilizing Google Cloud Platform servicesWork closely with other developers, architects, and stakeholders to ensure effective collaboration and communicationacross all stages of the development cycleDevelop and maintain automated build, test, and deployment pipelines using DevOps methodologies( Terraform, Ansible).Work with product application teams to continuously optimize their workloads for cost-efficiency and performance,making recommendations for resource adjustments as neededImplement data protection and identity access management policies to safeguard cloud resources and data.Set up and manage access to cloud resources using accounts, users, and groups.He/she should be knowledgeable about potential vulnerabilities of virtual machines and container deployment systems.Experience implementing and supporting IAM tools and processesWrite BigQuery SQL complex queriesGoogle Kubernetes Experience (GKE) to configure, deploy, maintain and support web applications, microservicesDesign and implement solutions to fascinating problems of scale and fault tolerance to simplify the administrationand user experience of Kubernetes platforms.Develop Helm charts, Docker images, config maps , custom controllers, resource definitions, gateways, API endpoints,and other Kubernetes control plane components.Create test plans, deployment automation, dashboards, alerts, and insights into our product's operations as well asparticipate in the Kubernetes Core Interfaces.and version controlMandatory Skills:
GCP + Python Engineering
Please share Skills matrix:
GCP services administrationGKE administrationExtensive knowledge in Python to automate issues.hands on experience in CI/CDKnowledge in Tera form module