Microsoft
Software Engineer
Found: Today
Microsoft 365 Engineering Systems (ES365) is responsible for the tools and platforms used by Microsoft developers to build, validate, and deploy software at scale. The ES365 AI team develops the agentic engineering platform adopted across Microsoft, enabling AI-powered productivity across large codebases.
The team builds core platform capabilities and developer-facing experiences that support software engineering workflows. This work includes scenarios such as large-scale codebase refactoring, automated integrations, and AI-assisted code understanding and modification.
As a Software Engineer, you will contribute to the design and development of the agentic platform that supports engineering productivity across Microsoft. You will work with AI models and orchestration frameworks to build scalable systems and developer experiences.
- Own and deliver features across the software development lifecycle, including design, architecture, implementation, testing, debugging, release, and ongoing support.
- Apply AI-assisted development tools and practices in daily workflows, and share approaches with team members and partner teams.
- Explore and evaluate multiple AI-assisted development approaches to improve engineering workflows and outcomes.
- Provide mentorship and guidance to engineers within and across teams.
- Write and review high-quality code with a focus on performance, reliability, scalability, and maintainability.
- Contribute to an inclusive team environment that supports collaboration and enables team members to perform effectively.
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:
Strong software engineering fundamentals, including system design, algorithms, testing, debugging, and code review.
Demonstrated ability to lead technical direction and mentor peers in a collaborative team environment.
Comfortable working in ambiguous, fast-moving problem spaces where best practices are still emerging.
Hands-on experience with AI-powered developer tooling and coding assistants, such as:
- GitHub Copilot and Copilot Workspace — AI pair programming, CLI workflows, and task-oriented development
- Claude Code — agentic CLI for autonomous software engineering tasks
- OpenAI Codex / ChatGPT — LLM-based code generation and explanation
- Cursor — AI-native code editor with inline generation and multi-file editing
Experience with agentic tooling concepts such as plugins, agents, skills, or hooks.
Experience building with agent SDKs, large language models (LLMs), prompt engineering, or AI orchestration frameworks (e.g., LangChain, Semantic Kernel, AutoGen, LlamaIndex, or similar).
Familiarity with agentic AI development patterns, including multi-step reasoning, tool/function calling, retrieval-augmented generation (RAG), and human-in-the-loop workflows.
Experience evaluating and using emerging AI developer tools, and translating insights into team-wide best practices.
Background in developer tooling, build systems, CI/CD pipelines, or engineering systems at scale.
