GCP Architect

GCP Cloud Architect

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.