CLOUD & AI ENGINEER

Vrinda International; Bengaluru; In loco; INR 1.800.000 - 2.800.000; Tempo pieno

Descrizione del lavoro

Vrinda International is hiring a Cloud & AI Engineer to design and deploy cloud-native solutions and production-grade GenAI applications. The role requires 6–8 years of hands-on experience with cloud platforms and AI workloads.

You will work onsite in Bengaluru, collaborating with cross-functional teams to build scalable serverless architectures on AWS and Azure, ensure security and reliability, and lead technical design decisions.

Competenze

• Experience in cloud engineering and production-grade AI/GenAI applications.
• On-site work mode with Bengaluru-based placement.
• 6–8 years of relevant experience.

Mansioni

• Develop and maintain cloud-native solutions across AWS and Azure.
• Build and deploy production-grade AI/GenAI applications.
• Design and implement scalable serverless architectures.
• Develop event-driven and distributed cloud solutions.
• Troubleshoot complex cloud and AI systems.
• Ensure applications are scalable, secure and reliable.
• Support cloud architecture and technical design decisions.
• Provide technical leadership and architectural guidance.
• Collaborate with cross-functional teams to deliver cloud and AI solutions.

Conoscenze

Artificial Intelligence

Serverless Architecture

Descrizione del lavoro

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Job Description

? WE ARE HIRING | CLOUD & AI ENGINEER ?

? We are hiring a Cloud & AI Engineer with strong experience in cloud engineering and production-grade AI/GenAI applications!

? Work Mode: Work From Office – On-Site

? Experience: 6–8 Years ?

? Primary Skills

• Artificial Intelligence
• Serverless Architecture

Key Responsibilities

• Develop and maintain cloud-native solutions across AWS and Azure
• Build and deploy production-grade AI/GenAI applications
• Design and implement scalable serverless architectures
• Develop event-driven and distributed cloud solutions
• Troubleshoot complex cloud and AI systems
• Ensure applications are scalable, secure and reliable
• Support cloud architecture and technical design decisions
• Provide technical leadership and architectural guidance
• Collaborate with cross-functional teams to deliver cloud and AI solutions