GCP cloud architect

Job Description

· Design and architect scalable cloud platforms to develop, deploy scalable integration and Peta Byte scale data migration, and AI solutions leveraging ML techniques.

· Drive Joint Architecture Design to collaborating with business stakeholders, data scientists, engineering teams, product, and other key partners to gather functional, non-functional requirements for solving AI use case on the AI Platform

· Design foundational solutions to enable multiple batch and real time integration patterns between On Premise and Cloud

· Evaluate emerging technologies and tools in AI area and do fitment analysis to the Enterprise AI Platform and capabilities strategy.

· Define and implement Google Cloud Platform architecture best practices, frameworks, and standards.

· Lead Google Cloud Platform infrastructure setup, including cloud services selection, data pipelines, and model deployment.

· Ensure robustness, reliability, and scalability of solutions in production environments.

· Design and implement data governance, security, and compliance measures for data and non-data objects.

· Optimize ML workflows for performance, cost efficiency, and resource utilization.

· Provide technical leadership and mentorship to development teams.

· Communicate architecture decisions and solution design to stakeholders and executives.

Key Expectations:

· Proven experience as Google Cloud Platform Architect

· Deep understanding of ML algorithms, Vertex ASI, Big Query, Data Proc, Composer, STS, DataPlex

· Strong knowledge of development life cycle, software engineering principles, data engineering principles

· Experience with containerization and orchestration tools on prem and cloud (e.g GKE, OpenShift Container Platform, Docker, Kubernetes) for deploying AI/ML models.

· Ability to design and optimize distributed computing systems for AI/ML workloads.

· Familiarity with DevOps practices, CI/CD pipelines, and automation tools in AI-ML contexts.

· Excellent problem-solving skills and ability to address complex technical challenges.

· Effective communication skills to collaborate with cross-functional teams and stakeholders