BranchFactor Summary

The original posting with the fluff stripped out

Compensation

No salary listed for this role.

Role speciality

AI and Data ServicesCloud ArchitectureCloud EngineeringInfrastructure as Code

Useful technologies

AKSAzure AI SearchAzure Container AppsAzure Cosmos DBAzure DevOpsAzure OpenAIDatabricksDelta LakeMicrosoft AzureMicrosoft FoundryTerraform

Original posting

Division: GDC

Key Responsibilities

Cloud Architecture & Engineering

Design, build, and maintain secure, scalable, and high‑availability cloud infrastructures on Microsoft Azure and Databricks.
Develop and document cloud architectural patterns, reference implementations, and best practices.
Lead technical design sessions with Cloud Teams and Architects.

Azure/Databricks AI & Data Services

Architect and implement solutions leveraging the Azure AI stack, including:
- Microsoft Foundry, Azure OpenAI
- Azure Container services (Container Apps, AKS)
- Azure AI Search, Azure Cosmos DB
- Databricks Datalake

Infrastructure as Code (IaC)

Develop, maintain, and version infrastructure components using Terraform and associated modules.
Implement CI/CD pipelines for infrastructure deployment using Azure DevOps yaml pipelines.
Enforce IaC best practices, modularization and automated testing.

Collaboration & Leadership

Work cross‑functionally with Architecture, CICD, Data, AI and application teams.
Provide technical guidance on Azure/Databricks and IaC practices.

Required Qualifications

5+ years of hands-on experience with Azure and/or Databricks cloud engineering or architecture.
Deep knowledge of:
- Azure core services (Compute, Storage, Networking, IAM)
- Azure AI services and MLOps solutions
- Azure Databricks ecosystem (clusters, jobs, Delta Lake)
Strong Terraform expertise, including module development and multi‑environment deployments.
Proficiency with CI/CD pipelines : Azure DevOps
Solid understanding of cloud security, observability, and cost‑management practices.

Preferred Certifications

Azure Certifications