Azure Cloud Architect || Remote

Overview

Accepts corp to corp applications
Contract - W2
Contract - 12+ month(s)

Skills

python
Shell Scripting
SCRIPTING
DOCKER
containerization
REACTJS
Microservice
ARM
KUBERNETES
GOVERNANCE
PostgreSQL
Microsoft Azure
terraform
PROBLEM-SOLVING
topo
BLOB

Job Details

Title: Azure Cloud Architect AI & Automation Platform

Location: Remote

Experience: 10+ Years

Duration: Long Term Contract

Job Description:

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Proven experience (5+ years) designing and deploying solutions on Microsoft Azure.
  • Hand on experience building Gen AI and Agentic AI applications leveraging Gen AI frameworks.
  • Strong expertise in architecting data ingestion, mapping, and extraction pipelines for diverse data types (structured, unstructured, semi-structured).
  • Hands-on experience with Azure services such as Data Factory, Synapse Analytics, Logic Apps, Functions, Blob Storage, Azure Data Lake, Cosmos DB, PostgreSQL and related components.
  • Solid understanding and practical experience with front-end technologies, especially React.js, and integrating with cloud-based backends.
  • Proficiency in scripting and automation with specific focus on Infrastructure as Code (IAC) via Terraform. Proficiency in other scripting areas (e.g., PowerShell, Python, ARM templates, Bicep) will be a plus.
  • Experience in implementing security, compliance, and governance in AI and cloud environments.
  • Demonstrated ability to work independently, drive projects, and deliver high-quality results on schedule.
  • Excellent communication, collaboration, and problem-solving skills.

Preferred Qualifications

  • Azure Solutions Architect Expert certification or equivalent.
  • Experience with AI/ML workloads and automation frameworks on Azure.
  • Background in business processing services or enterprise-scale transformation projects.
  • Familiarity with containerization (Docker, Kubernetes) and microservices architecture.
  • Knowledge of data privacy and regulatory requirements relevant to business processing services.
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