AI Platforms Cloud Engineer

21 hours ago


Hyderabad, Telangana, India beBeeCloud Full time ₹ 20,00,000 - ₹ 30,00,000

Job Opportunity:

We are seeking an experienced Cloud Engineer to collaborate across our organization, ensuring cloud resources are delivered according to established standards on both Azure and AWS platforms.

Key Responsibilities:

  • Provision cloud resources adhering to approved architecture and organizational standards on both Azure and AWS.
  • Collaborate with Engineering, Operations, and cross-platform teams for seamless delivery of cloud resources on both Azure and AWS.
  • Design, develop, and implement AI models and algorithms to address business challenges and improve processes.
  • Implement Security Principles and Guardrails to AI Infrastructure.
  • Identify and mitigate risks associated with cloud deployments and resource management in multi-cloud environments.
  • Collaborate with cross-functional teams to understand requirements and translate them into AI solutions.
  • Document AI models, algorithms as Knowledge base article.
  • Participate in capacity planning and cost optimization initiatives for multi-cloud resources.
  • Experience working with Vector DB (Datastax HCD).
  • Conduct experiments to test and compare the effectiveness of different AI approaches.
  • Troubleshoot and resolve issues related to AI systems.
  • Deploy AI solutions into production environments and ensure integration with existing systems.
  • Monitor and evaluate the performance of AI systems, adjusting as necessary to improve outcomes.
  • Research and stay updated on the latest AI and machine learning technology advancements.
  • Present findings and recommendations to stakeholders.
  • Provide technical expertise and guidance on AI-related projects and initiatives.
  • Experience in creating Deployments for Intelligent Search, Intelligent Document Processing, Media Intelligence, Forecasting, AI for DevOps, Identity Verification, Content Moderation.
  • Experience in Amazon Bedrock, SageMaker, All Foundational AWS Resources under Compute, Networking, Security, App Runner, Lambda.

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred.
  • 8+ years of experience in IT, with at least 4 years focused on cloud technologies, including substantial experience with both AWS & Azure.
  • Strong understanding of AWS and Azure services, architectures, and best practices, particularly in Data and AI platforms.
  • Certifications in both AWS (e.g., AWS Certified Solutions Architect - Professional) Azure (e.g., Azure Solutions Architect Expert).
  • Experience in working with multiple teams cloud platforms.
  • Demonstrated ability to work horizontally across different teams and platforms.
  • Strong knowledge of cloud security principles and compliance requirements in multi-cloud environments.
  • Working experience of DevOps practices and tools applicable to both Azure and AWS.
  • Experience with infrastructure as code (e.g., ARM templates, CloudFormation, Terraform).
  • Proficiency in scripting languages (e.g., PowerShell, Bash, Python).
  • Solid understanding of networking concepts and their implementation in Azure and AWS.

Preferred Qualifications:

  • Cloud Architecture/specialist.
  • Experience with hybrid cloud architectures.
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes) on both Azure and AWS.


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