Senior Software Engineer - Azure Platform Engineer

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We are looking for a Senior Software Engineer - 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.

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.
• 4+ years of experience in Microsoft Azure (or experience with AWS or GCP and a solid interest in Azure) and Infrastructure as Code tools such as Terraform.
• 4+ years experience managing systems at scale—globally distributed, highly available, and real-time, 24/7 environments.
• 4+ years of experience in programming or scripting with modern software development practices, including CI/CD pipelines.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• 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 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 equivalent experience.
• Excellent written and verbal communication skills, especially explaining technical concepts to non-specialist audiences.
• 6+ years of experience deploying and managing Azure infrastructure, especially globally distributed and highly available systems.
• Hands-on experience deploying Terraform on Azure.
• 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 AI integrations using MCP servers or building conversational AI chatbots.
• Solid understanding of cloud cost optimization, secure access control, and automated governance.
• A growth mindset, openness to learning, and passion for trying new approaches to improve developer experiences.

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 $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until June 18, 2025.

#MicrosoftAI

• Build and maintain secure-by-default, reusable Terraform 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.
• 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.