Azure Architect

2 days ago

delhi, India Vtricks Technologies Full time
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
Job Summary:
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:
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.
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.
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.
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.
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.
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.
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.
Why Join Us?
Innovative Projects : Engage in cutting-edge AI and cloud projects, pushing the boundaries of technology and innovation.
Collaborative Environment : Join a team of skilled professionals dedicated to achieving excellence in cloud and AI solutions.
Career Growth : Opportunity to advance your skills in Azure architecture, AI, and big data, with ongoing professional development and support.
This role offers a challenging and rewarding opportunity to lead the Azure cloud architecture for AI solutions, contributing directly to the success of our cloud initiatives. If you are passionate about Azure and AI, we encourage you to apply.

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