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.
· on-call rotation
Qualifications:
· Bachelor’s degree in Engineering/Computer Science or four or more years of work experience..
· Minimum 5 years total experience in a technical role such as security, systems or software engineer with at least 2 years focused on IAM, GKE, BQ.
· 3+ years of experience consulting or operating IAM solutions for GCP.
· 3+ years of subject matter expert on microservice design and architectural patterns especially GKE ( Kubernetes, container, Docker and image security)
· 3+ years Knowledge of DevOps methodologies and tools such as Jenkins, Git, Terraform, and Ansible
· 2+ years of experience on SQL
· Google Cloud Platform certification(s) (e.g. Data Engineer, Cloud Devops Engineer, Cloud Security Engineer) is a plus
· Proficiency in programming languages Shell, Python, Java
· Experience with standard IT security practices such as IAM, data protection, encryption.
· Proficient with GCP technologies ( IAM, GKE, Compute Engine, Cloud Load Balancing, BQ, GCS)
· 5+ years of experience working with SDLC, agile, including supporting and/or using tools.
Any graduate