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Mid-level cloud architect in metro with broad Azure skillset and common title increases applicant competition.
Cloud architecture skills are broadly transferable across industries, so background fit sensitivity is low.
Explicit minimum experience and mandatory Azure/Databricks, CI/CD, containerization requirements make screening fairly strict.
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Design and implement cloud architecture using Microsoft Azure to develop and deploy AI and data-driven software solutions.
Build, deploy, and operate cloud solutions including provisioning Azure components, preparing ETLs, containerizing applications, and implementing CI/CD pipelines.
Collaborate with Data Scientists and AI Engineers to productionize AI models and mentor colleagues on Cloud technologies.
Bachelor’s degree in Computer Science or equivalent professional experience.
2-4 years of professional experience in Cloud Solutions Architecture, specifically with Microsoft Azure.
Experience with Azure components such as Databricks, Data Factory, Synapse; programming with Python and Java; containerization using Docker; and microservices architecture.
Fluency in English language and work location in Pune or Bangalore.
Strong expertise in Microsoft Azure cloud ecosystem including IaaS, DevOps (CI/CD), and infra deployment tools (ARM templates, Terraform, etc.).
Hands-on experience integrating AI, data analytics, and machine learning in cloud environments alongside data teams.
Experienced in designing scalable microservices architectures and proficient in SQL/NoSQL databases and containerization technologies.