Weekday AI
Technology
AzureTechnicalLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Azure Technical Lead at Weekday AI. Skills: Azure Cloud, Data Lake Storage, AKS, GenAI, Kubernetes. Design cloud solutions using Azure services. Architect Data and AI platforms”
Industry & Context.
Resolve complex technical challenges
What They're Looking For.
Must Have
8+ years IT experience, 4+ years Azure cloud services, Azure Functions, Azure App Services, Azure SQL Database, Azure Blob Storage, Azure Data Lake Storage (ADLS), Azure Kubernetes Service (AKS), Azure OpenAI, Azure Key Vault, Azure Container Registry (ACR), Azure Databricks, Azure Machine Learning, Docker, Kubernetes, CI/CD pipelines, Azure DevOps, GitHub Actions, API design, Integration architecture, Cloud-native applications, Leading technical teams, Cloud transformation projects, Stakeholder management, Translate business requirements
Nice to Have
Terraform, Bicep, ARM Templates, Azure Solutions Architect Expert, Azure Administrator Associate, Azure AI Engineer Associate, GenAI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI-driven applications, Enterprise cloud migration, Cloud modernization projects
What You'll Do.
Design cloud solutions using Azure services
Architect Data and AI platforms
Construct scalable Data and AI platforms
Lead application design and deployment
Ensure application scalability
Ensure application security
Ensure application reliability
Ensure application high performance
Champion containerization efforts
Champion orchestration efforts
Implement cloud security best practices
Collaborate with business stakeholders
Collaborate with product teams
Collaborate with architects
Collaborate with engineering groups
Define technical roadmaps
Define solution strategies
Facilitate architecture reviews
Lead technical discussions
Conduct solution design workshops
Mentor engineering teams
Support engineering teams
Optimize cloud infrastructure costs
Enhance application performance
Improve operational efficiency
Support cloud modernization initiatives
Support digital transformation initiatives
Establish CI/CD pipelines
Maintain CI/CD pipelines
Implement DevOps best practices
Keep abreast of technologies
Advocate for technology adoption
How You'll Work.
Team & Collaboration
Business stakeholders; Product teams; Architects; Engineering groups; Engineering teams
Communication Scope
Stakeholder management; Technical discussions
Process & Methodology
Cloud transformation projects
Full Job Description
**This role is for one of the Weekday's clients** **Salary range: Rs 2000000 - Rs 4500000 (ie INR 20-45 LPA)** Min Experience: 8+ years We are seeking a skilled **Azure Technical Lead** to architect, design, and implement scalable, cloud-native solutions using Microsoft Azure. The perfect candidate will possess deep expertise in Azure cloud services, data platforms, AI/GenAI technologies, containerization, and enterprise architecture. This position demands practical technical leadership, effective stakeholder management, and the capability to lead cloud transformation efforts throughout the organization. **Requirements** **Key Responsibilities** * Design and develop comprehensive cloud solutions by utilizing Azure services such as Azure Functions, Azure App Services, Azure SQL Database, Azure Blob Storage, Azure Data Lake Storage (ADLS), Azure Kubernetes Service (AKS), and Azure OpenAI. * Architect and construct scalable Data and AI platforms by leveraging Azure Machine Learning, Azure Databricks, and modern cloud-native design methodologies. * Lead the design and deployment of enterprise-level applications ensuring scalability, security, reliability, and high performance. * Champion containerization and orchestration efforts using Docker, Kubernetes, and AKS. * Implement cloud security best practices through Azure Key Vault, Azure Active Directory (Entra ID), Azure Container Registry (ACR), and relevant governance frameworks. * Collaborate closely with business stakeholders, product teams, architects, and engineering groups to define technical roadmaps and solution strategies. * Facilitate architecture reviews, lead technical discussions, and conduct solution design workshops. * Mentor and support engineering teams in cloud architecture, DevOps methodologies, coding standards, and deployment processes. * Optimize cloud infrastructure costs, enhance application performance, and improve operational efficiency. * Support the organization’s cloud modernization and digi
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