Azure Cloud Technical Lead

ClifyX, INC

Fort Washington, PA

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
30+ 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