Description

You will design and implement cloud architectures on Google Cloud Platform (GCP).

You will own the cloud foundation build, migrate on-premises infrastructure, and optimize Vertex AI solutions for advanced machine learning capabilities.

Responsibilities

• Lead the cloud foundation build, ensuring best practices in security, scalability, and performance.
• Manage and execute the migration of on-premises infrastructure to GCP.
• Implement and optimize Vertex AI solutions for advanced machine learning and AI capabilities.
• Translate business requirements into technical solutions collaborating with cross-functional teams.
• Troubleshoot and resolve complex technical issues related to GCP infrastructure and services.

Required Skills

• 5+ years of hands-on experience with GCP architecture and services.
• Proven experience in cloud foundation build and on-premises to GCP migration projects.
• Strong expertise in Vertex AI and implementing machine learning models on GCP.
• Proficiency in GCP services: Compute Engine, Cloud Storage, BigQuery, Cloud Functions, and Kubernetes Engine.
• Experience with Terraform, Ansible, or other infrastructure as code (IaC) tools.
• Proficiency in scripting languages such as Python and Bash.
• Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
• Excellent understanding of networking, security, and IAM in GCP.
• Knowledge of DevOps practices and CI/CD pipelines.

Preferred Skills

• Bachelor's or Master's degree in Computer Science or related field.
• Experience with Stackdriver for monitoring and logging.
• Familiarity with TensorFlow or PyTorch for ML model deployment.

Key Skills

Education

Bachelor's or Master's degrees