Azure Architect

2 days ago

Pune, India Vtricks Technologies Full time

We are seeking an experienced Azure Architect to design, implement, and oversee the deployment of AI and cloud-based solutions within a Microsoft Azure environment. This position requires a seasoned professional with 10+ years of relevant experience, who can effectively architect and manage AI workloads on Azure while ensuring scalability, security, and reliability. The Azure Architect will work closely with cross-functional teams to design a robust cloud environment, establish best practices, and optimize Azure resources for advanced AI projects.

Key Responsibilities :

1. Solution Design and Architecture :

- Lead the architecture, design, and deployment of AI solutions on Microsoft Azure, ensuring optimal performance, scalability, and security.

- Define and develop end-to-end cloud architecture strategies that align with business objectives and best practices.

- Collaborate with AI and development teams to design solutions that meet requirements for data processing, analytics, and AI model deployment.

2. Cloud Infrastructure Setup and Management :

- Oversee the setup and configuration of Azure services, including virtual networks, virtual machines, storage accounts, and databases, in a cost-effective and secure manner.

- Utilize Azure services such as Azure Machine Learning, Azure Data Lake, Azure Synapse Analytics, and Azure Kubernetes Service (AKS) to support AI workloads.

- Design scalable, high-performance, and fault-tolerant infrastructure, employing best practices in cloud resource management, monitoring, and optimization.

3. Data Security and Compliance :

- Implement and maintain security protocols to safeguard data, adhering to regulatory compliance requirements and industry best practices.

- Set up Identity and Access Management (IAM) policies, encryption, and role-based access control (RBAC) to ensure data security across Azure environments.

4. Performance Optimization and Cost Management :

- Continuously evaluate and optimize cloud resources for performance, cost, and efficiency.

- Implement automation scripts to manage and monitor the cloud environment, using Azure Automation, Azure Monitor, and other Azure-native tools.

5. Documentation and Best Practices :

- Document architectural decisions, solution designs, and deployment plans to ensure transparency and alignment across the organization.

- Develop and enforce best practices, guidelines, and governance for cloud deployments, ensuring consistency in implementations.

6. Troubleshooting and Support :

- Provide technical guidance and troubleshooting expertise for Azure-based solutions, especially AI and machine learning workloads.

- Collaborate with internal stakeholders to troubleshoot and resolve infrastructure-related issues promptly.

7. Collaboration and Stakeholder Engagement :

- Work closely with project managers, developers, data scientists, and IT teams to support project objectives and align cloud architecture with business needs.

- Participate in regular stakeholder meetings, providing updates on the architecture, deployment status, and any issues encountered.

Required Skills :

- Azure Expertise : Extensive hands-on experience with Azure services, including Azure Machine Learning, Azure Synapse, Azure Data Lake, Azure Kubernetes Service (AKS), and Azure Storage.

- AI & ML Infrastructure : Proven experience in deploying AI/ML workloads on Azure, utilizing services such as Azure Machine Learning and integrating AI models with cloud architecture.

- Infrastructure as Code (IaC) : Proficiency in IaC tools such as Azure Resource Manager (ARM) Templates, Terraform, or Bicep for deploying and managing cloud resources.

- Security and Compliance : Strong knowledge of Azure security best practices, including IAM, RBAC, encryption standards, and familiarity with data privacy regulations.

- DevOps and Automation : Experience with Azure DevOps for CI/CD pipeline creation, along with automation tools (e.g., Azure Automation, Azure Monitor) for performance monitoring.

- Data Management : In-depth understanding of data warehousing, ETL, and data lakes within Azure, with experience in managing large-scale data processing for AI.

- Problem-Solving : Strong troubleshooting and problem-solving skills, with the ability to resolve issues related to cloud architecture and resource performance.

- Documentation and Communication : Excellent documentation skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Preferred Qualifications :

- Certifications: Microsoft Certified : Azure Solutions Architect Expert or equivalent.

- AI/ML Knowledge : Familiarity with popular machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in managing ML models in production.

- Cost Management : Understanding of Azure cost optimization techniques and experience with budget management tools in Azure.

Job Title : Azure Architect

Location : Pune (Work from Office)

Employment Type : Full-Time Employee at Canarys

Budget : Up to 28 LPA

Experience Required : 10+ years

Notice Period : Immediate to 15 days

Interview Process : 2 Rounds (Client Interview / F2F)

Background Check : Required

(ref:hirist.tech)

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