Azure Cloud Platform Engineer | Databricks & SRE

Devopsroles; United States, Northern America, Americas; Hybrid; USD 140,000 - 160,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Paid time off

401(k) with company match

Parental leave

Sabbatical

Housing discount at Greystar managed

Employee Assistance Program

Job summary

Greystar seeks an experienced Cloud Platform Engineer to join the D2AI team. You will design, implement, and manage Azure-based infrastructure and Databricks workflows, ensuring scalability, security, and performance through IaC and DevOps practices.

This 100% hands-on role requires collaboration across teams, strong troubleshooting, cost optimization, and staying current with Azure technologies to drive innovative data solutions.

Qualifications

• Bachelor’s degree in computer science or related field.
• Strong experience with Azure as an architecture and infrastructure engineer.
• Hands-on expertise with IaC tools (Terraform, ARM/Bicep).
• Proficiency in scripting (PowerShell, Python) and monitoring tools.

Responsibilities

• Design, implement, and manage Azure solutions to meet needs.
• Maintain comprehensive infrastructure documentation and diagrams.
• Optimize resource configuration for performance, cost, and security.
• Monitor health and reliability of Azure resources and applications.
• Collaborate with development teams to align Azure architecture with requirements.
• Lead incident detection, response, and resolution in collaboration with teams.

Tools

Terraform

ARM templates

Bicep

Datadog

Azure Monitor

Application Insights

Python

PowerShell

Job description

Greystar seeks an experienced Cloud Platform Engineer to join the D2AI team. You will design, implement, and manage Azure-based infrastructure and Databricks workflows, ensuring scalability, security, and performance through IaC and DevOps practices.

This 100% hands-on role requires collaboration across teams, strong troubleshooting, cost optimization, and staying current with Azure technologies to drive innovative data solutions.