
Empowering every person and organization on the planet to achieve more.
Full Stack Engineer
Overview
Shape the future of AI-powered search and help billions of users find answers instantly. The Bing GenAI team, part of Microsoft AI is at the epicenter of Microsoft's AI transformation, creating the intelligent systems and beautiful interfaces that power Microsoft Copilot, Bing generative answers, and next-generation search experiences. As a full stack engineer, you'll have the unique opportunity to work across the entire technology stack, from high-performance backend services to stunning user interfaces.
As a Full Stack Software Engineer on this team, you will work across both backend and frontend systems to deliver end-to-end features for Copilot and Bing. On the backend, you'll work on building modern C#-based service layers, high-performance distributed systems and prompt engineering. On the frontend, you'll build beautiful, responsive experiences using server-side and client-side frameworks. This opportunity will allow you to accelerate your career as a versatile engineer, develop deep expertise across the full technology stack, and gain hands-on experience shipping AI-powered features to billions of users.
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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Works with appropriate stakeholders to determine user requirements for a set of features.
- Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
- Creates and implements code for a product, service, or feature, reusing code as applicable.
- Contributes to efforts to break down larger work items into smaller work items and provides estimation.
- Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
- Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
Qualifications Required 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, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
Preferred Qualifications:
- Master'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 Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Experience with C# and .NET development for backend services.
- Experience with React or similar modern JavaScript frameworks.
- Experience with native mobile application development (iOS with Swift and/or Android with Kotlin).
- Familiarity with AI/ML concepts, large language models, or prompt engineering.
#MicrosoftAI
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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About Microsoft

Microsoft
PublicMicrosoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.
10,001+
Employees
Redmond
Headquarters
$3000B
Valuation
Reviews
10 reviews
4.4
10 reviews
Work-life balance
3.2
Compensation
4.1
Culture
4.3
Career
3.8
Management
4.0
82%
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Pros
Cutting-edge technology and innovative projects
Great team culture and collaborative atmosphere
Excellent benefits and competitive compensation
Cons
Heavy workload and frequent overtime
High expectations and stressful environment
Bureaucratic processes can be slow
Salary Ranges
5,620 data points
Senior/L5
Senior/L5 · Account Management
5 reports
$209,483
total per year
Base
$181,941
Stock
-
Bonus
-
$194,895
$209,483
Interview experience
1 interviews
Difficulty
4.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 0%
Negative 100%
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1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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