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Azure Cloud Technical Lead

ClifyX, INC

Fort Washington, PA

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JOB DETAILS
SKILLS
Architectural Design, Artificial Intelligence (AI), Cloud Architecture, Cloud Computing, Computer Security, Computer Vision, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Customer/Client Research, Design Patterns Programming Methodologies, DevOps, Git, Identity Data Management, Information/Data Security (InfoSec), Infrastructure as a Service (IaaS), Internet Security, Load Balancing, Maintain Compliance, Microservices, Microsoft Windows Azure, Platform as a Service (PaaS), PostgreSQL, Pre-Sales, Regulatory Compliance, Request for Proposals (RFP), Requirements Management, SQL (Structured Query Language), Team Player, Technical Leadership, Threat Modeling, Virtual Machine (VM)
LOCATION
Fort Washington, PA
POSTED
10 days ago

Job Description
Key Responsibilities

Cloud Architecture & Design

  • Design end-to-end Azure cloud architectures for PaaS, IaaS, and Hybrid workloads.
  • Define reference architectures for GenAI, document intelligence, OCR, and underwriting platforms.
  • Architect scalable solutions using Azure App Service, AKS, Azure Container Registry, Azure Storage, and Azure databases.
  • Drive cloud design reviews, architecture sign-offs, and technical governance.

Security & Compliance

  • Design secure architectures using: Azure AD (Entra ID), RBAC, MFA, Azure Key Vault, Private Endpoints, NSGs, Azure Application Gateway with WAF.
  • Ensure compliance with BFSI regulations, SOC2, GDPR, PII data protection, and internal security policies.
  • Work with cybersecurity teams on threat modeling, VNET isolation, and zero-trust patterns.

DevOps & Operations

  • Define DevOps and CI/CD strategies using Azure DevOps, Git repositories, and container pipelines.
  • Integrate monitoring and observability using Azure Monitor, Application Insights, and Log Analytics.
  • Define DR, backup, high availability, and resiliency patterns (RTO/RPO).

GenAI & Advanced Services (Good to Have)

  • Architect solutions using Azure OpenAI, Azure Cognitive Services (Document Intelligence, Computer Vision).
  • Design secure GenAI pipelines with controlled data usage and no client data leakage.
  • Support AI workloads running on AKS/App Services with monitoring and cost controls.

Stakeholder & Delivery Collaboration

  • Partner with Product Owners, SMEs, and business users to translate requirements into cloud designs.
  • Support presales, RFP responses, architecture walkthroughs, and client discussions.
  • Provide technical guidance to development and infrastructure teams.

Required Skills

Azure Core Services

  • Azure App Service, AKS, VM, VNET, Load Balancer
  • Azure Storage (Blob, File), Azure SQL / PostgreSQL
  • Azure Container Registry
  • Azure Key Vault, Azure Monitor, Application Insights

Security & Identity

  • Azure AD / Entra ID, RBAC, Managed Identity
  • WAF, Private Link, Defender for Cloud

Architecture & Delivery

  • Cloud design patterns, microservices, containerization
  • Experience with large-scale enterprise and BFSI solutions
  • Strong knowledge of NFRs (Performance, Security, Scalability)

Roles & Responsibilities

Cloud Architecture & Design

  • Design end-to-end Azure cloud architectures for PaaS, IaaS, and Hybrid workloads.
  • Define reference architectures for GenAI, document intelligence, OCR, and underwriting platforms.
  • Architect scalable solutions using Azure App Service, AKS, Azure Container Registry, Azure Storage, and Azure databases.
  • Drive cloud design reviews, architecture sign-offs, and technical governance.

Security & Compliance

  • Design secure architectures using: Azure AD (Entra ID), RBAC, MFA, Azure Key Vault, Private Endpoints, NSGs, Azure Application Gateway with WAF.
  • Ensure compliance with BFSI regulations, SOC2, GDPR, PII data protection, and internal security policies.
  • Work with cybersecurity teams on threat modeling, VNET isolation, and zero-trust patterns.

DevOps & Operations

  • Define DevOps and CI/CD strategies using Azure DevOps, Git repositories, and container pipelines.
  • Integrate monitoring and observability using Azure Monitor, Application Insights, and Log Analytics.
  • Define DR, backup, high availability, and resiliency patterns (RTO/RPO).

GenAI & Advanced Services (Good to Have)

  • Architect solutions using Azure OpenAI, Azure Cognitive Services (Document Intelligence, Computer Vision).
  • Design secure GenAI pipelines with controlled data usage and no client data leakage.
  • Support AI workloads running on AKS/App Services with monitoring and cost controls.

About the Company

C

ClifyX, INC

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