Senior Cloud Architect

skf

Bengaluru 10 Years Exp Posted 408d ago

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.

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.

Candidate Profile:

Education: Bachelor’s degree in computer science, engineering, or a related field.