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 productive 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: Robust 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: Robust 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.

Skills: Devops

Experience: 12.00-16.00 Years

📌 GCP Architect (Pune)
🏢 Cybage Software Private
📍 Pune