13 hours ago
Base Salary
$120k - $261k/yr
Responsibilities
- Build and maintain secure-by-default Terraform and CDKTF/CDKTN modules for standardized Azure infrastructure deployments.
- Consult with engineering teams on cloud architecture, cost optimization, security, and platform standards.
- Develop automation and AI-driven interfaces that improve internal usability, onboarding, and developer productivity.
- Build and operate AI agents and MCP server integrations as production platform components, including their CI/CD, versioning, and evaluation.
- Drive security and compliance remediation across repositories and teams through automation and reusable patterns.
- Own shared observability and deployment tooling, including managed Grafana, alert quality, and deployment automation.
- Design and implement scalable CI/CD pipelines and operational tooling.
- Document technical systems, explain complex concepts clearly, and contribute to platform strategy and cross-team technical direction.
Requirements
- Bachelor's degree in Computer Science or a related technical field and 4+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Preferred qualifications include a master's degree with 6+ years of experience, or a bachelor's degree with 8+ years of experience, or equivalent experience.
- At least 4 years of experience with Microsoft Azure and Terraform, or experience with AWS or GCP and a strong interest in Azure.
- At least 4 years of programming or scripting experience using modern software development practices, including CI/CD pipelines.
- Experience deploying and managing Azure infrastructure, including globally distributed, highly available, real-time, 24/7 systems, with the preferred qualifications listing 6+ years of such experience.
- Experience with Terraform and at least one programmatic Infrastructure as Code framework such as CDKTF, CDKTN, Pulumi, or Bicep.
- Hands-on experience deploying Terraform on Azure and migrating between Infrastructure as Code toolchains.
- Experience building or integrating AI agents, MCP servers, agent tooling, or LLM-based automation.
- Experience with Azure DevOps or GitHub Actions, Kubernetes and AKS, including admission policy and cluster platform services.
- Experience with Grafana, Prometheus, or Azure Monitor and querying telemetry with Kusto or KQL.
- Experience operating in compliance-driven environments, driving remediation across teams, optimizing cloud costs, managing secure access control, and implementing automated governance.
- Strong written and verbal communication skills and an openness to learning and improving developer experiences.
Benefits
- Base pay and additional benefits or compensation may be available; the posting directs candidates to Microsoft's benefits and pay information.
- For Microsoft AI employees within a 50-mile commute of a designated U.S. Microsoft office or a 25-mile commute of a designated non-U.S. location, the expectation beginning January 26, 2026 is to work from the office at least four days per week, subject to local law and jurisdictional variation.
- The position will remain open for a minimum of five days and accepts applications on an ongoing basis until filled.
- Microsoft is an equal opportunity employer and provides application-process accommodations for religious needs and disabilities.
Tech Stack
AWSAzureCC#C++GitHub ActionsGoogle Cloud PlatformGrafanaJavaJavaScriptKubernetesPrometheusPythonTerraform
Categories
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.