Cloud AI Lead

Responsibilities:

• Containerization, Agentcore or Bedrock or any other AI tools development on AWS/Azure/GCP is preferred.
• Solid understanding of object-oriented programming
• Experience with both external and embedded databases
• Analyzing user requirements, envisioning system features and functionality.
• Application migration to AWS/Azure/GCP cloud
• Identify bottlenecks and bugs, and recommend system solutions by comparing advantages and disadvantages of custom development
• Lead and mentor a team of Cloud AI Developers in the design, development, and maintenance of applications.
• Work with business stakeholders and technical teams to gather and analyze requirements for Agentcore or Bedrock or any other AI tools applications.
• Design, develop, and enhance software solutions using Cloud, AI, Data, and Spring Security.
• Write efficient and well-structured code to implement business logic and functionality on the Cloud platform.

Technical Skill Set:

AWS/Azure/GCP, Agentcore or Bedrock or any other AI tools applications

• Experience with cloud computing platforms, such as AWS, Azure, or Google Cloud Platform.
• Familiar with software development methodologies, such as Agile or Scrum.
• Understanding of software version control systems, such as Git or Subversion.

Education: Bachelor Of Comp. Applications,Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Technology (Integrated)

Preferred skills: Technology->Cloud Security->AWS - Infrastructure Security->AWS Virtual Private Cloud (VPCs),Technology->Physical AI->Azure IoT->Azure IoT Edge,Technology->Cloud Security->GCP - GRC,Technology->Machine Learning->Generative AI->closed models (aws bedrock)