Posted:1 week ago|
Platform:
On-site
Job ID NA Department Engineering Location Pune Work Experience 12+ years About The Position We are seeking a highly skilled and experienced GCP Cloud Architect to lead the design, development, and optimization of cloud-based solutions on the Google Cloud Platform. This role requires a deep understanding of cloud architecture, GCP services, and best practices for building scalable, secure, and efficient cloud environments. The ideal candidate will have hands-on experience with GCP tools, infrastructure automation, and cloud security. Must Have Skills GCP Expertise : In-depth knowledge of GCP services, including Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, and Pub/Sub. Infrastructure Automation : Proficiency with IaC tools like Terraform or GCP Deployment Manager. Cloud Security : Strong understanding of IAM, VPC, firewall configurations, and encryption in GCP. Programming Skills : Proficiency in Python, Go, or other programming languages for automation and scripting. Data Engineering Knowledge : Familiarity with data pipelines and services like Dataflow, Dataproc, or BigQuery. Monitoring and Observability : Hands-on experience with GCP monitoring tools and best practices. Problem-solving : Strong analytical and troubleshooting skills. Collaboration : Excellent communication and teamwork abilities to work effectively across teams. Roles and Responsibilities Architecture Design : Design and develop robust and scalable cloud architectures leveraging GCP services to meet business requirements. Cloud Migration and Optimization : Lead cloud migration initiatives and optimize existing GCP environments for cost, performance, and reliability. Infrastructure as Code (IaC) : Implement and maintain infrastructure automation using tools like Terraform or Deployment Manager. Integration with Cloud Services : Integrate various GCP services (e.g., BigQuery, Pub/Sub, Cloud Functions) into cohesive and efficient solutions. Observability and Monitoring : Set up monitoring, logging, and alerting using GCP-native tools like Cloud Monitoring and Cloud Logging. Security and Compliance : Ensure cloud environments adhere to industry security standards and compliance requirements, implementing IAM policies, encryption, and network security measures. Collaboration : Work with cross-functional teams, including DevOps, data engineers, and application developers, to deliver cloud solutions. Preferred Qualifications GCP certifications (e.g., Professional Cloud Architect, Professional Data Engineer). Experience with container orchestration using Kubernetes (GKE). Knowledge of CI/CD pipelines and DevOps practices. Exposure to AI/ML services like Vertex AI.
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