Role Overview

Do you want to build AI-powered developer tools and services that enable a billion builders to bring their ideas to life every day? Are you excited to build planet-scale platforms with enterprise trust, security, and reliability baked in from design to delivery? If so, this role in Microsoft’s CoreAI division is for you.

As a Software Engineer in our Developer Platforms team, you will design, build, and operate core platform services for developers across the entire application lifecycle. We build products and services for every need—from code management and CI/CD with Azure DevOps, to testing applications at scale with Azure App Testing, to running applications on Azure PaaS platforms such as Azure App Service, Container Apps, Functions, API Management, and Logic Apps.

We also build Azure- & Foundry-native integrations with leading technology providers (for example, MongoDB, Elastic, and Datadog) to give customers flexibility, choice, and confidence as they build and operate modern cloud applications—using AI as a core building block, not an afterthought.

Why CoreAI

• Build trusted AI platforms and developer tools used by millions today—and billions tomorrow.
• Solve deep technical problems at global, cloud-to-edge scale.
• Apply AI to real-world engineering challenges, not just prototypes.
• Grow in a culture that values engineering excellence, learning, and people.

What You’ll Build

As part of a collaborative, platform-first engineering organization, you will build and evolve:

• AI-powered cloud services and platforms that support developer and enterprise workflows, owning them end-to-end—from architecture and implementation to deployment and live-site operations.
• Cloud-to-edge platform capabilities, including Azure resource providers, data-plane integrations, and portal experiences that enable secure, scalable management of modern applications and AI workloads.
• AI-enabled engineering and lifecycle systems that improve testing efficiency, quality analysis, incident triage, and developer productivity across the software development lifecycle.

How You’ll Build and Grow

CoreAI combines deep engineering rigor, customer focus, and craftsmanship with a people-first learning culture, focused on building trusted AI platforms at scale.

• Outcome-driven, platform-first approach: build durable platforms guided by metrics, telemetry, and customer feedback, with clear ownership across the full DevOps lifecycle.
• AI-native engineering: design, build, and operate systems with AI embedded across design, coding, testing, release validation, and live-site operations, while maintaining correctness, safety, and trust.
• Enterprise-grade trust: security, privacy, compliance, reliability, and responsible AI practices are treated as first-class engineering concerns.
• Continuous growth and collaboration: deepen skills in distributed systems, cloud platforms, and applied AI through hands-on production work in an inclusive, supportive environment.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, or equivalent practical experience.
• 1-3 years of experience building production software using one or more modern programming languages such as C#, C++, Go, Java or Python.
• Strong understanding of software engineering fundamentals, data structures, and problem-solving.
• Ability to learn new technologies quickly and adapt to deliver customer and business impact.

Preferred Qualifications

• Experience working in Linux environments and with open-source projects.
• Familiarity with containers and orchestration technologies such as Docker and Kubernetes.
• Experience with cloud infrastructure (Azure, AWS, or equivalent).
• Exposure to site reliability engineering (SRE) practices.
• Exposure to AI-assisted development and data-driven engineering workflows.
• Knowledge of Azure resource providers, platform extensibility, and security, compliance, or responsible AI concepts.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.