Senior Azure API Technical Specialist (Gautam Buddh Nagar)

Senior Azure API Technical Specialist (Gautam Buddh Nagar)

16 Aug
|
HCLTech
|
Gautam Buddh Nagar

16 Aug

HCLTech

Gautam Buddh Nagar

Gautam Buddha Nagar, Uttar Pradesh

Job Summary

Role: Azure Marketplace Architect / Lead Engineer (AI PC Marketplace)

Level: L3 / L4 (Senior / Architect)

Location: India

Engagement Type: Full time (Insource/External hire)

Role Objective

To design, build, and operationalize an AI PC Marketplace solution on Microsoft Azure Marketplace, enabling scalable deployment, commercialization, and lifecycle management of AI-powered workplace offerings (including Intel-based AI PC solutions

Key Responsibilities

1. Architecture & Solution Design Define end-to-end architecture for Azure Marketplace-integrated solutions. Design multi-tenant, scalable, and secure SaaS / Managed App offerings. Align solution with: Azure Well-Architected Framework Enterprise security & compliance standards Integrate AI PC use cases (endpoint AI, copilots, edge inference) 2. Azure Marketplace Enablement Lead onboarding and publishing of solutions on: Azure Marketplace (Commercial Marketplace) Define: Offer structure (SaaS, Managed Apps, VM offers) Pricing, billing, and monetization models Manage:



Offer certification process. Go-to-market readiness. Engineering & Implementation Build and deploy: Azure-native services (App Services, AKS, Functions, APIs) Marketplace integration components (APIs, fulfilment, metering) Develop automation for: Provisioning (ARM/Bicep/Terraform) CI/CD pipelines (Azure DevOps / GitHub Actions) Integrate with: Identity (Azure AD / Entra ID) APIs and external platforms (Intel, OEM ecosystem) AI & Digital Workplace Integration Enable AI-driven scenarios: AI PC onboarding & lifecycle management Endpoint intelligence and analytics Integration with Microsoft Copilot / AI services Align with Digital Workplace platforms (EUC, device management, security) Operationalization & Governance Establish: Monitoring (Azure Monitor, Log Analytics) SLA/SLO frameworks Cost optimization models Define support model: L1/L2/L3 runbooks Incident and change management. Stakeholder & Ecosystem

📌 Senior Azure API Technical Specialist (Gautam Buddh Nagar)
🏢 HCLTech
📍 Gautam Buddh Nagar

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