Description

You will design and architect cloud-native and AI-driven solutions across Azure and GCP.

Responsibilities

• Design and architect cloud-native and AI-driven solutions across Azure and GCP platforms.
• Develop and deploy end-to-end applications integrating data, AI, and automation workflows.
• Collaborate with cross-functional teams to define architecture blueprints, standards, and best practices.
• Lead implementation of Data and AI Governance frameworks, ensuring compliance and security.
• Conduct performance tuning, scalability testing, and optimization of deployed applications.

Required Skills

• 8–12 years of experience in cloud solution design and implementation.
• Strong hands-on experience with Azure and Google Cloud Platform (GCP).
• Proficiency in Python programming and automation scripting.
• In-depth understanding of Agentic AI and API integration.
• Proven experience designing and deploying data pipelines or governance frameworks.
• Knowledge of CI/CD pipelines, DevOps, and Infrastructure as Code (Terraform).
• Strong understanding of data security, privacy, and governance principles.
• Bachelor’s or Master's degree in computer science, Engineering, or related field.

Key Skills

Education

Bachelor's or Master's degrees