Overview

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.

We also build Azure

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.
- Grow in a culture that values engineering excellence, learning, and people.

Responsibilities

What You’ll Build : As part of a cooperative, 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.
- 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.

Qualifications

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.

📌 Software Engineer (India)
🏢 Microsoft
📍 India