Design, build, and manage Azure infrastructure (Data Factory, Key Vaults, VMs, Networking, etc.)
Implement Infrastructure-as-Code using tools like Bicep or Terraform
Automate CI/CD pipelines via Azure DevOps, GitHub, and scripting (e.g., PowerShell, Python)
Evaluate and optimize cloud infrastructure for scalability and cost-efficiency
Administer and monitor Databricks, Snowflake, and other cloud-native platforms
Troubleshoot performance, connectivity, and security issues across environments
Collaborate with Agile teams to deliver reliable and secure solutions
Drive improvements through SRE principles, monitoring, and incident resolution
Lead development of reusable, scalable, and supportable services
Engage in root cause analysis and production support
7+ years of hands-on Azure Platform Engineering experience
7+ years in DevOps roles, working in Agile/Scrum environments
Advanced proficiency in:
Python (5+ years)
SQL
Azure DevOps, GitHub, Terraform/Bicep, PowerShell
Experience with:
Infrastructure-as-Code (IaC)
CI/CD pipelines
Monitoring, logging, and support of production environments
Strong background in delivering scalable services with monitoring and support
Excellent verbal and written communication skills
Proven ability to work across multiple systems and teams
Bachelor's degree in Computer Science or related field
Hands-on with cloud platforms and services like:
Snowflake, Databricks, Synapse, CosmosDB, SQL
Azure Data Factory, Event Hub, Azure Functions
Azure Key Vault, Managed Identity, Networking, Log Analytics
System administration experience on Windows/Linux
Certifications preferred:
Azure Administrator / Solution Architect
Databricks Platform Admin
Snowflake SnowPro
Experience with Azure cost control, forecasting, and governance
Any Gradute