OverviewAs a
Software Engineer II, you will bring solid UI engineering skills and user experience instincts, while developing a broader full-stack, AI, and product engineering mindset. You will build intuitive, accessible, reliable experiences and work closely with UX designers, Product Managers, and engineering partners to turn customer needs into products people love to use.
You will contribute across the engineering lifecycle, from understanding customer problems and shaping features through implementation, testing, experimentation, shipping, telemetry, and production. While UI/UX craftsmanship remains an important strength, you will also have opportunities to work across client architecture, shared components, services, APIs, and AI-enabled experiences.
We are looking for curious, passionate engineers who enjoy building products, not just implementing requirements. You will explore emerging technologies, use AI-assisted engineering tools responsibly, bring ideas, ask questions, learn quickly, and help make both the product and the team better.
Responsibilities- Build and ship frontier AI-powered experiences across Web, Windows, and Mobile that reimagine how students and educators learn, create, and accomplish their goals.
- Experiment with emerging AI technologies, models, agents, and new interaction patterns, rapidly turning promising ideas and prototypes into useful, production-quality product experiences.
- Create delightful, high-quality, responsive, accessible, and inclusive user experiences, with a solid attention to UX craftmanship and consistency across platforms, devices, and form factors.
- Design efficient, reusable front-end systems and architecture that enable the team build, test, deploy, and evolve complex product experiences efficiently.
- Collaborate closely with Product, Design, Applied Science, and engineering partners to understand customer needs, explore what's newly possible with AI, and shape product and technical direction.
- Own product features end to end, from discovery and prototyping through implementation, testing, experimentation, rollout, telemetry, production health, and iteration.
- Build across the stack when the product requires it, including service and API integrations, data contracts, authentication, AI orchestration and grounding, experimentation, telemetry, and production diagnostics.
- Use AI as part of the engineering workflow, applying AI-assisted tools and agentic development approaches to accelerate exploration, coding, testing, debugging, and learning while maintaining high standards for quality, security, privacy, and responsible AI.
- Bring a frontier and growth mindset to the team, sharing ideas, learning quickly, challenging existing approaches, contributing to engineering excellence, and embodying Microsoft's culture and values.
Qualifications- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, JavaScript, or Python
- OR equivalent experience.
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- 3+ years of software development experience developing web applications using JavaScript or TypeScript and a modern frontend framework such as React.
- Professional experience designing, developing, and shipping high-quality software.
- Experience building responsive and accessible web applications using TypeScript, React, or similar technologies.
- Experience developing object-oriented applications or services using C#, Java, C++, or a similar language.
- Experience designing or integrating APIs and working with distributed cloud services.
- Experience with public cloud services, including Azure, AWS, or Google Cloud.
- Experience using AI-assisted development tools, such as GitHub Copilot, GitHub Copilot CLI, Claude Code, or comparable tools, for coding, testing, debugging, code review, documentation, or developer-workflow automation.
- Ability to evaluate AI-generated output for correctness, maintainability, security, privacy, and licensing considerations and to apply appropriate human review before use.
- Proven ability to troubleshoot complex technical issues in web applications or online services.
- Effective written and oral communication and collaboration skills.
- Discipline in applying modern software engineering practices, including coding standards, code reviews, source control management, build processes, testing, and releasing.
#W+DJOBS
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
