Imagine being part of a thriving team that builds much talked about AI-powered features for the planet’s most impactful Microsoft products – you can turn that imagination into reality now!

As a Software Engineer II on the Microsoft Copilot team, you’ll contribute to the development of intelligent features that enhance productivity and creativity across Office applications.
At Microsoft, we foster a culture of innovation, collaboration, and continuous learning—where your growth is as important as your impact.

This role is your opportunity to grow your skills in cloud systems, AI, and large-scale software development. You’ll gain hands-on experience with cutting-edge technologies like Large Language Models (LLMs) and GenAI, while contributing to meaningful, user-facing features.

We are committed to a diverse and inclusive workplace where everyone can thrive and do their best work.

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.

• Bachelor's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 2+ years of professional software development experience.
• Experience with cloud platforms (Azure, AWS, or GCP) and modern development practices.
• Proficiency in at least one programming language (e.g., C#, Java, Python, or JavaScript).

Preferred Qualifications:

• Exposure to Large Language Models (LLMs) or Generative AI technologies.

• Familiarity with CI/CD pipelines and agile development methodologies.

• Strong problem-solving skills and a growth mindset.

• Ability to work effectively in a collaborative, fast-paced environment.

• Design & Development:
  • Contribute to the design and implementation of scalable software solutions.
  • Write clean, maintainable code and participate in code reviews.
• Cloud Systems:
  • Assist in building and optimizing cloud-native applications using platforms like Azure, AWS, or GCP.
• Innovation:
  • Stay informed about emerging technologies, especially in AI and GenAI, and explore their application in product development.
• Collaboration:
  • Work closely with product managers, senior engineers, and data scientists to deliver high-quality features.
  • Communicate technical ideas clearly within the team.