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Do you want to work on intelligent, scalable systems that power next-generation AI experiences across the Microsoft ecosystem? If you're looking for an opportunity to dive into generative AI, innovation, and impact, Microsoft Copilot AI Enablement team could be a good fit for you. We are leading the charge in an AI-first world, unlocking capabilities for users everywhere and powering intelligent solutions across Microsoft 365 and beyond. Our AI Enablement team is building secure, scalable, and resilient cross-functional services that empower makers and information workers to deliver groundbreaking AI-powered solutions.
We are looking to hire a Software Engineer II to join us building infra to help deliver seamless, high-quality, and reliable AI powered features and platforms to empower Copilot Studio users to create mission-critical AI workloads. You'll work alongside talented teammates from product design and applied science to deliver features that empower users and scale across millions of tenants in the Microsoft ecosystem. In the process, you'll also learn modern tools, technologies, and industry best practices as part of a world-class engineering environment that values mentorship and innovation.
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.
Responsibilities
- Write clean, maintainable, well-tested, scalable, reliable, and secure code for new AI-driven features that help agents improve.
- Contribute to the design, implementation, and iteration of features that propose the agent shape. Surfacing data-driven suggestions for one-click fixes.
- Collaborate with Applied Science & AI experts to design, build, and deliver cutting-edge generative AI features and transform what it means to build AI-first SaaS.
- Embrace and apply modern engineering best practices including CI/CD pipelines, observability, and operational excellence to ensure high quality, maintainability, and resilience in production. Apply a variety of tools and technologies to deliver diverse customer experiences.
- Work across various technologies and platforms, participating in the full software development cycle: brainstorm, prototype, implement, test, and deploy.
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 ReactJs, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 2+ years of software development experience in application or services development on cloud-based platforms or AI-driven systems.
- 1+ year of experience in full understanding of all aspects of the software development process with experience shipping at least one release.
- 1+ years of experience in hands-on experience working with Large Language Models and Generative AI.
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:
- 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.
- Proven experience building AI-centric software and services, with familiarity in AI-based orchestration and solution capabilities.
- Solid background in developing scalable applications and services on Azure (or other major cloud platforms) with a focus on reliability, resilience, security, and performance.
- Hands-on experience developing modern applications using React and TypeScript.
- Ability to deal with ambiguity, deliver in an agile environment, be willing to learn and adopt new technologies/industry trends and have good cross group collaboration skills.
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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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Pros
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Four-day workweek with improved work-life balance
Supportive managers and teams
Cons
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Unprofessional interview processes
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Junior/L3
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Difficulty
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Duration
14-28 weeks
Offer Rate
14%
Experience
Positive 14%
Neutral 29%
Negative 57%
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1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Onsite/Virtual Interviews
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Final Round
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