Google Cloud Platform Cloud Architect - Technical Architect

Responsibilities:

• Design and implement robust cloud architectures on Google Cloud Platform (Google Cloud Platform).
• Lead the cloud foundation build, ensuring best practices in security, scalability, and performance.
• Manage and execute the migration of on-premises infrastructure to Google Cloud Platform.
• Implement and optimize Vertex AI solutions for advanced machine learning and AI capabilities.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Provide technical leadership and mentorship to junior engineers and architects.
• Ensure compliance with industry standards and regulatory requirements.
• Troubleshoot and resolve complex technical issues related to Google Cloud Platform infrastructure and services.
• Stay updated with the latest Google Cloud Platform features, tools, and best practices.

Qualifications:

• Bachelor's or master's degree in computer science, Information Technology, or a related field.
• Minimum of 5 years of hands-on experience with Google Cloud Platform architecture and services.
• Proven experience in cloud foundation build and on-premises to Google Cloud Platform migration projects.
• Strong expertise in Vertex AI and implementing machine learning models on Google Cloud Platform.
• Proficiency in Google Cloud Platform services such as Compute Engine, Cloud Storage, BigQuery, Cloud Functions, and Kubernetes Engine.
• Excellent understanding of networking, security, and IAM in Google Cloud Platform.
• Strong problem-solving skills and the ability to work in a fast-paced environment.
• Excellent communication and collaboration skills.

Technical Skills Required:

• Experience with Terraform, Ansible, or other infrastructure as code (IaC) tools.
• Knowledge of DevOps practices and CI/CD pipelines.
• Proficiency in scripting languages such as Python, Bash, or PowerShell.
• Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
• Familiarity with monitoring and logging tools such as Stackdriver, Prometheus, and Grafana.
• Understanding of data engineering concepts and tools like Dataflow, Dataproc, and Pub/Sub.
• Experience with API management and microservices architecture.
• Knowledge of security best practices, including encryption, key management, and identity management.
• Familiarity with other cloud platforms like AWS or Azure.
• Experience with cloud-native application development and serverless architectures.
• Proficiency in designing and implementing disaster recovery and business continuity plans.
• Knowledge of cloud cost management and optimization strategies.
• Experience with hybrid cloud environments and multi-cloud strategies.
• Familiarity with cloud compliance frameworks such as GDPR, HIPAA, and SOC 2.
• Proficiency in using Google Cloud Platform's AI and machine learning tools, such as AutoML and AI Platform.
• Experience with data warehousing solutions like BigQuery and data lake architectures.
• Knowledge of cloud networking concepts, including VPC, VPN, and interconnects.

Preferred Skills:

• Google Cloud Platform Professional Cloud Architect certification.
• Experience with hybrid cloud environments and multi-cloud strategies.
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

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