This role pays more than
69%
of similar roles. Most pay
$149,500–$192,108
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$171k
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
598 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 589 roles with salary data.
As a Senior Software Engineer on the Platform Engineering team, you will build and maintain a foundational infrastructure platform for AI-driven advertising. You will develop secure-by-default, reusable Terraform and CDKTF/CDKTN modules to standardize Azure deployments while consulting with internal teams on cloud architecture, cost optimization, and security. Your daily work involves creating automation and AI-driven interfaces, including MCP server integrations and LLM-based agent tooling, to improve developer productivity. You will manage shared observability tools like Grafana and Prometheus, design scalable CI/CD pipelines using Azure DevOps or GitHub Actions, and drive compliance remediation across multiple repositories. The role requires proficiency in languages such as C#, Java, or Python, along with expertise in Kubernetes, AKS, and Kusto. You will solve complex problems regarding infrastructure scalability and developer experience within a high-availability, globally distributed environment.
What does a Software Engineer earn?
Median $197625 from 2176 postings across 136 companies.
Build and maintain secure, reusable Terraform and CDKTF/CDKTN modules to standardize Azure infrastructure deployments.
Consult with engineering teams to guide cloud architecture design while optimizing for cost and security.
Develop automation tools and AI-driven interfaces to improve developer productivity and onboarding.
Build and manage AI agents and MCP server integrations as production platform components.
Drive automated security and compliance remediation across multiple repositories and teams.
Manage shared observability and deployment tooling, including Grafana and alert quality.
Design and implement scalable CI/CD pipelines and operational infrastructure tools.
Create high-quality technical documentation to communicate complex concepts to diverse audiences.
What we're looking for
Bachelor's degree in Computer Science or related field and 4+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python.
Master's degree and 6+ years of experience, or a Bachelor's degree and 8+ years of experience in technical engineering and coding (preferred).
4+ years of experience in Microsoft Azure and Terraform, or experience with AWS/GCP and a strong interest in Azure (preferred).
Proficiency with Infrastructure as Code tools like Terraform and at least one programmatic framework such as CDKTF, CDKTN, Pulumi, or Bicep.
Minimum of 4 years of experience in programming or scripting with modern software development practices, including CI/CD pipelines.
Practical experience building or integrating AI agents, such as MCP servers or automation built on LLMs (preferred).
Experience managing systems at scale, specifically globally distributed, highly available, and real-time environments (preferred).
Experience with Kubernetes and AKS, observability tools like Grafana or Prometheus, and Kusto (KQL) (preferred).