Senior Cloud Architect

RolePurpose:

• As a Cloud Architect within our AI Center of Excellence, you will spearhead the design and implementation of robust, scalable, and secure cloud solutions primarily on Azure to drive AI innovation across the organization. You ll work closely with cross-functional teams, leveraging your strong developer background to help architect, deploy, and integrate a wide range of services. You will ensure that our platforms and applications uphold the highest standards for security, performance, and reliability.
• This role is pivotal in shaping how our AI solutions operate at scale. Positioned within Technology Development, the AI Center of Excellence works globally to elevate AI maturity and drive digital transformation across the enterprise

Key responsibilities:

• Cloud Architecture & Deployment
• Design, implement, and maintain Azure-based solutions, ensuring best practices in security, reliability, and performance.
• Oversee integrations with services such as Databricks, Azure AI Search, OpenAI Services, and SharePoint.

Security & Networking

• Architect secure environments with a focus on identity management (e.g., Entra ID/SSO), network segmentation, and advanced threat protection.
• Implement best practices for data protection, monitoring, and incident response across cloud infrastructures.

Developer Enablement

• Leverage your background in software development to review and sometimes contribute code, offering architectural guidance and hands-on support.
• Collaborate with development teams to establish and maintain DevOps pipelines, ensuring efficient builds, testing, and deployments.

Integration & Support

• Provide technical leadership for setting up and managing integrations with various Azure services, Databricks, and enterprise systems like SharePoint.
• Guide teams in implementing single sign-on (SSO), data flows, and indexing strategies for services like Azure AI Search.

Monitoring & Optimization

• Implement end-to-end monitoring, logging, and alerting solutions to ensure proactive performance tuning and immediate issue resolution.
• Continuously evaluate and optimize cloud resource usage, balancing cost-effectiveness with scalability.

We Expect You to Have

• Bachelor s degree in computer science, engineering, or a related field or equivalent work experience.
• Extensive, hands-on Azure experience, including multi-year background in designing and deploying complex cloud environments.
• Strong developer background in languages such as C#, Python, or similar, enabling you to understand and occasionally contribute to codebases.
• Proven expertise in security, networking, and monitoring, with a track record of architecting secure solutions at scale.
• Experience with Databricks and OpenAI Services, particularly in data processing, analytics, and AI model deployment.
• Familiarity with Azure AI Search, including indexing strategies, relevance tuning, and security controls.
• Solid understanding of SSO solutions, including Entra ID, and practical know-how in integrating various enterprise systems (SharePoint, Databricks, etc.).
• Knowledge of DevOps practices, including CI/CD pipelines, IaC (Infrastructure-as-Code), and best practices for automated testing and deployments.
• Excellent communication skills to collaborate effectively with cross-functional teams and translate complex architectural requirements into actionable solutions.
• A background in AWS is a plus.

CandidateProfile:Education:

• Bachelor s degree in computer science, engineering, or a related field.

Experience:

• Experience band: minimum 10 years.