Job description

Overview Microsoft Ads 3rd Party Ads Solutions and Data Management Platforms is building the next innovative platform for AI-driven advertising. Our team empowers internal engineering teams through secure, scalable, and cost-effective cloud infrastructure solutions. We are reimagining the developer experience by using Infrastructure as Code (IaC), automation, and AI-driven interfaces to accelerate productivity and reduce operational complexity. We are looking for an Azure Platform Engineer who will help us create and evolve a foundational platform that enables teams across Ads to build with speed, security, and efficiency. This role blends cloud architecture consulting, Infrastructure as Code expertise, and AI tooling to deliver reusable and scalable patterns that reduce toil and promote innovation. As part of the Platform Engineering team, you will partner with engineering teams, architects, and product groups to design, implement, and evangelize cloud best practices, all while staying curious and open to trying new ideas. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.   Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. Responsibilities • Build and maintain secure-by-default, reusable Terraform and CDKTF/CDKTN modules to standardize and accelerate Azure infrastructure deployments. • Consult with internal engineering teams to guide cloud architecture design, optimize for cost and security, and ensure alignment with platform standards. • Develop automation and AI-driven interfaces that improve internal usability, accelerate onboarding, and unlock developer productivity. • Build and maintain AI agents and MCP server integrations that automate operational work, and own them as production platform components with proper CI/CD, versioning, and evaluation. • Drive security and compliance remediation across many repositories and teams, using automation and reusable patterns rather than manual effort. • Own shared observability and deployment tooling, including managed Grafana, alert quality, and deployment automation. • Design and implement scalable CI/CD pipelines and operational tooling. • Write high-quality documentation and communicate complex technical concepts to diverse audiences in a clear, engaging way. • Participate in platform strategy discussions and contribute to cross-team technical direction. Qualifications Required Qualifications: • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python • OR equivalent experience. Preferred Qualifications: • Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python • OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python • OR equivalent experience. • 4+ years of experience in Microsoft Azure and Terraform (or experience with AWS or GCP and a solid interest in Azure). • Experience managing systems at scale—globally distributed, highly available, and real-time, 24/7 environments. • Proficiency with Infrastructure as Code tools like Terraform, and with at least one programmatic IaC 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—for example MCP servers, agent tooling, or automation built on LLMs—and a clear view of where automation is and is not appropriate. • Excellent written and verbal communication skills, especially explaining technical concepts to non-specialist audiences. • A growth mindset, openness to learning, and passion for trying new approaches to improve developer experiences. • 6+ years of experience deploying and managing Azure infrastructure, especially globally distributed and highly available systems. • Hands-on experience deploying Terraform on Azure, and experience migrating between Infrastructure as Code toolchains. • Familiarity with CI/CD tools such as Azure DevOps or GitHub Actions. • Experience building self-service tools and developer platforms for provisioning Azure infrastructure. • Experience with Kubernetes and AKS, including admission policy and cluster platform services. • Experience with observability tooling such as Grafana, Prometheus, or Azure Monitor, and querying telemetry with Kusto (KQL). • Experience operating in a compliance-driven environment and driving remediation across teams you do not directly own. • Solid understanding of cloud cost optimization, secure access control, and automated governance. #MicrosoftAI Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Requirements

Must-haves

Build and maintain secure-by-default, reusable Terraform and CDKTF/CDKTN modules to standardize and accelerate Azure infrastructure deployments.
Consult with internal engineering teams to guide cloud architecture design, optimize for cost and security, and ensure alignment with platform standards.
Develop automation and AI-driven interfaces that improve internal usability, accelerate onboarding, and unlock developer productivity.
Build and maintain AI agents and MCP server integrations that automate operational work, and own them as production platform components with proper CI/CD, versioning, and evaluation.
Drive security and compliance remediation across many repositories and teams, using automation and reusable patterns rather than manual effort.
Own shared observability and deployment tooling, including managed Grafana, alert quality, and deployment automation.
Design and implement scalable CI/CD pipelines and operational tooling.
Write high-quality documentation and communicate complex technical concepts to diverse audiences in a clear, engaging way.
Participate in platform strategy discussions and contribute to cross-team technical direction.
4+ years of experience in Microsoft Azure and Terraform (or experience with AWS or GCP and a solid interest in Azure).
Minimum of 4 years of experience in programming or scripting with modern software development practices, including CI/CD pipelines.
6+ years of experience deploying and managing Azure infrastructure, especially globally distributed and highly available systems.

Nice-to-haves

OR equivalent experience.
Experience managing systems at scale—globally distributed, highly available, and real-time, 24/7 environments.
Proficiency with Infrastructure as Code tools like Terraform, and with at least one programmatic IaC framework such as CDKTF, CDKTN, Pulumi, or Bicep.
Practical experience building or integrating AI agents—for example MCP servers, agent tooling, or automation built on LLMs—and a clear view of where automation is and is not appropriate.
Excellent written and verbal communication skills, especially explaining technical concepts to non-specialist audiences.
A growth mindset, openness to learning, and passion for trying new approaches to improve developer experiences.
Hands-on experience deploying Terraform on Azure, and experience migrating between Infrastructure as Code toolchains.
Familiarity with CI/CD tools such as Azure DevOps or GitHub Actions.
Experience building self-service tools and developer platforms for provisioning Azure infrastructure.
Experience with Kubernetes and AKS, including admission policy and cluster platform services.
Experience with observability tooling such as Grafana, Prometheus, or Azure Monitor, and querying telemetry with Kusto (KQL).
Experience operating in a compliance-driven environment and driving remediation across teams you do not directly own.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiazureci/cdjavajavascriptpythonawsgcpkubernetes

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Vision