iFlow - Azure Engineer - OpenAI Security (5-10 yrs)

Azure OPEN AI with Azure Security skills.

Position : 1

Location : Remote

Experience: 5+yrs

Primary Skills : Azure Open AI, Azure Security

Responsibilities :

• Architect AI Solutions: Design end-to-end AI solutions that leverage Azure cloud services and OpenAI technologies to address complex business challenges and opportunities.
• Technical Leadership: Provide technical leadership and guidance to cross-functional teams, ensuring alignment with best practices, security standards, and industry trends.
• Solution Design: Collaborate with stakeholders to define solution architecture, requirements, and specifications, considering factors such as scalability, reliability, performance, and cost optimization.
• Azure Integration: Integrate OpenAI capabilities seamlessly within the Azure environment, ensuring efficient utilization of Azure services, data storage, and networking components.
• Cloud Infrastructure: Design and implement the necessary Azure infrastructure components to support AI applications, including virtual machines, containers, data storage, and networking configurations.
• AI Model Deployment: Architect strategies for deploying and managing AI models at scale, considering factors such as model versioning, monitoring, and updates.
• Security and Compliance: Implement security measures and compliance standards to ensure the confidentiality and integrity of AI-powered solutions and data.
• Performance Optimization: Identify opportunities for performance optimization in terms of AI model inference, data processing, and application responsiveness.
• Collaboration: Collaborate with data scientists, developers, and DevOps teams to ensure smooth handoff and integration of AI solutions into production environments.
• Innovation and Research: Stay updated on the latest advancements in Azure services and OpenAI technologies, evaluating their potential impact on the organization's AI strategy.

Roles and responsibilities on Azure Security Side :

• Perform a discovery of environment and designing a technical onboarding process for their Azure tenants on the below Azure functional areas :
  1. Operations
  2. Applications
  3. Networking
  4. Compute
  5. Identity
  6. Storage
• Integrating Enterprise applications and other SaaS application rest API with Microsoft Cloud App Security to manage and enforce DLP policies over our sensitive data.
• Leveraging Passwordless authentication to mitigate the risk password attacks from privileged accounts and enabling MFA on accounts which are not capable of having Passwordless authentication.
• Enabling Defender on subscriptions to protect our Azure and hybrid resources to protect management ports of VMs with Just-in-time and adaptive applications controls.
• Protecting virtual machines data by using Azure Disk Encryption (ADE) that is using BitLocker for windows VMs and DM-Crypt for Linux VMs.
• Leverage Azure AD Firewalls, MCAS and do authenticated and unauthenticated scans for newly built servers.
• Involve in the below Compute, Storage and Applications security approaches:
  1. Penetration Testing
  2. Web Application firewall
  3. Authentication and authorization in Azure App Service
  4. Layered Security Architecture
  5. Web server diagnostics and application diagnostics
  6. Azure role-based access control (Azure RBAC)
  7. Shared Access Signature
  8. Encryption in Transit
  9. Encryption at rest
  10. Storage Analytics
  11. Patch Updates
  12. Virtual machine backup
  13. Azure Site Recovery
  14. VM Disk Encryption
  15. Virtual networking

Qualifications :

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience as an architect or senior engineer in designing and implementing Azure-based solutions.
• Strong background in artificial intelligence, machine learning, and natural language processing.
• Familiarity with OpenAI technologies and APIs.
• In-depth knowledge of Azure cloud services, including compute, storage, networking, and security.
• Certification :
  1. Microsoft Certified: Azure Solutions Architect Expert
  2. Microsoft Certified: Azure Fundamentals
• Experience with containerization technologies (e.g., Docker, Kubernetes) and microservices architecture.
• Proficiency in programming languages such as Python, Java, or C#.
• Excellent problem-solving skills and the ability to adapt to new technologies and trends.
• Strong communication skills to collaborate effectively with cross-functional teams and stakeholders.
• Relevant certifications in Azure and AI technologies (e.g., Azure Solutions Architect, Azure AI Engineer) are a plus.