GCP Data Engineer

Experience : 8 + years .

GCP Platform Engineer

Responsibilities :

• Develop, deploy, and maintain Google Cloud solutions and services that meet business requirements
• Design and implement secure, scalable, and robust cloud applications utilizing Google Cloud Platform services
• Work closely with other developers, architects, and stakeholders to ensure effective collaboration and communication
• across all stages of the development cycle
• Develop 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 needed
• Implement 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 processes
• Write BigQuery SQL complex queries
• Google Kubernetes Experience (GKE) to configure, deploy, maintain and support web applications, microservices
• Design and implement solutions to fascinating problems of scale and fault tolerance to simplify the administration
• and 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 as
• participate in the Kubernetes Core Interfaces.
• and version control

Mandatory Skills : GCP + Python Engineering

Please share Skills matrix :