This role pays more than
70%
of similar roles. Most pay
$149,500–$186,300
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$168k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
599 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 564 roles with salary data.
As a Senior Software Engineer on the Global Marketing Data Engineering team, you will build platform foundations for large-scale marketing data products and AI experiences. You will focus on platform engineering, DevOps, infrastructure automation, and cloud cost optimization across Microsoft Azure and Fabric. Your daily responsibilities include designing reusable capabilities for Infrastructure-as-Code, CI/CD frameworks, and automated provisioning to eliminate operational toil. You will establish standardized engineering patterns, self-service capabilities, and observability tools to improve developer productivity and reliability. Key technologies include Bicep, ARM, Terraform, PowerShell, C#, Java, JavaScript, and Python. You will also utilize Azure Data Factory, Synapse, Databricks, and Cosmos DB. This role solves complex problems regarding infrastructure governance, security-by-design, and cost efficiency within a massive marketing data ecosystem.
What does a Software Engineer earn?
Median $196750 from 2245 postings across 146 companies.
Design and build reusable platform engineering and DevOps capabilities for Azure and Microsoft Fabric workloads.
Develop standardized CI/CD frameworks and deployment patterns to ensure reliable and secure software releases.
Build and maintain Infrastructure-as-Code frameworks using tools like Bicep, ARM, or Terraform.
Automate infrastructure provisioning, configuration, policy application, and lifecycle management.
Create self-service platform capabilities and paved-road engineering patterns to minimize manual intervention for data teams.
Drive cloud cost optimization through utilization telemetry, rightsizing, and automated resource management.
Integrate security-by-design and DevSecOps practices into infrastructure workflows and CI/CD pipelines.
Apply AI-assisted engineering to automate operational tasks and improve developer productivity.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 4+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python (or equivalent experience).
Experience building and operating cloud-scale platforms, infrastructure, or distributed systems (preferred).
Experience with Microsoft Azure infrastructure and platform services, including networking, identity, compute, storage, containers, and serverless technologies (preferred).
Experience building and operating CI/CD pipelines and automated software deployment systems using Azure DevOps, GitHub Actions, or comparable technologies (preferred).
Experience with Infrastructure-as-Code and automated infrastructure provisioning using Bicep, ARM, Terraform, PowerShell, Azure CLI, or equivalent (preferred).
Experience with DevOps, SRE, observability, deployment reliability, and operational engineering practices (preferred).
Experience with FinOps or cloud-cost engineering, including analyzing consumption data, rightsizing, and automated cost controls (preferred).
Experience with Microsoft Fabric, Azure Data Factory, Synapse, Databricks, Cosmos DB, or related Azure data technologies and AI-assisted development tools (preferred).