Microsoft AI Cloud and Data solutions Engineer

About Company:

HJ Software Private Limited is a software company that provides innovative, customized web-based solutions to small and medium enterprises. Our offshore development team has a proven track record in delivering web-related solutions on schedule and within budget, to clients of various industries.

• Senior Microsoft AI Cloud & Data Solutions Engineer

• Employment Type:

   Full-time or Part-time

• Experience:

   7+ years

• We are looking for a senior, hands-on Microsoft AI Cloud & Data Solutions Engineer to design, build, and operate scalable data and AI platforms on Microsoft Azure. This is an individual contributor role focused on execution, delivery, and problem-solving. You will work closely with engineering, analytics, and business teams to implement modern data architectures and AI-driven solutions.

• Design and implement end-to-end data solutions on 

  Microsoft Azure

• Build and maintain data pipelines using 

  Azure Data Factory

  , 

  Databricks

  , 

  Synapse Analytics

  , or 

  Microsoft Fabric

• Architect and optimize data lakes and warehouses using 

  ADLS Gen2

  , 

  Azure SQL

  , or 

  PostgreSQL

• Perform data modeling (fact/dimension, analytical schemas) for reporting and analytics
• Optimize solutions for performance, scalability, and cost

• Build and integrate AI/ML solutions using 

  Azure Machine Learning

   and 

  Azure OpenAI

• Develop and deploy inference pipelines and AI-enabled features
• Support analytics and BI platforms such as 

  Power BI

  , 

  Domo

  , or similar tools
• Enable batch and near-real-time analytics use cases

• Implement CI/CD pipelines for data and AI workloads using 

  Azure DevOps

   or 

  GitHub Actions

• Monitor, troubleshoot, and support production data and AI systems
• Apply Azure security best practices (RBAC, Managed Identities, networking)
• Maintain technical documentation and operational runbooks

• Work directly with product, analytics, and business stakeholders to translate requirements into technical solutions
• Collaborate with offshore teams, vendors, and partners
• Participate in design reviews and provide practical, execution-focused guidance

• 7+ years

   of hands-on experience in cloud engineering, data engineering, or analytics