Lead Software Engineer - Fullstack Java, Springboot +AI
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Architect and lead development of large-language models and backend systems powering AI capabilities across Microsoft 365. Requires a bachelor's degree in computer science and 6+ years of engineering experience with languages like C++, C#, Java, Python, or JavaScript. You'll set technical direction, mentor engineers, partner with applied scientists and product managers, and design scalable ML systems. Based in the U.S. with higher pay ranges for San Francisco Bay Area and New York City. Base salary $142,800–$274,800 annually, or $188,000–$304,200 in specified metro areas.
Written from this posting by Neural Jobs AI. The full description is below.
Microsoft is at the forefront of a new era in productivity, with Microsoft 365 Copilot redefining AI-powered experiences across work. The Copilot and Agents Core Office of the CTO shapes intelligent experiences across Microsoft 365 by bridging research and engineering, building core agent capabilities, incubating emerging technologies, and helping product teams scale high-quality AI features. We partner with engineers, researchers, and product teams to prototype bold ideas, validate them in real-world scenarios, and transition them into production-ready systems. Our culture values curiosity, accountability, collaboration, technical depth, user empathy, continuous learning, and open idea-sharing. By joining this team, you’ll help shape how Copilot and intelligent agents evolve across Microsoft and contribute to intelligent, contextual assistance for millions of users.
As a Principal Software Engineer, you will architect and lead the development of LLMs (Large Language Models) and the supporting subsystems that power product scenarios and GenAI capabilities across Microsoft 365 experiences. You will set technical direction, partner with research and engineering teams to deliver best-in-class solutions, align senior stakeholders, drive the design of custom LLM architectures for product needs, and design the backend, data, and ML systems that empower teams across the organization — while mentoring engineers and raising the technical bar.
The ideal candidate is an AI-forward technical leader who thrives in fast-paced, ambiguous environments, sets direction amid uncertainty, and delivers outsized impact through both hands-on engineering and technical leadership. If you’re passionate about building high-quality systems, solving complex technical problems, and elevating the engineers around you, this role is a strong fit.
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.
Serve as a technical leader and domain expert for shipping AI- and ML-based intelligent services and products, staying ahead of industry trends and applying them to influence product and platform direction.
Lead architectural design for complex backend, data, and ML systems that meet security, compliance, scalability, and reliability requirements, and translate vision into actionable milestones, estimates, and plans.
Define and drive engineering quality strategy — establishing metrics, standard practices, and reusable design patterns that raise reliability, maintainability, and developer efficiency across the team.
Partner with stakeholders and cross-functional teams — including product managers, applied scientists, and data engineers — to align on requirements, incorporate feedback, and deliver high-impact features and platform improvements.
Lead the creation and improvement of internal tools and frameworks that accelerate developer velocity, automation, and overall system effectiveness.
Mentor and grow engineers through code reviews, design reviews, and technical guidance, raising the bar for engineering excellence across the team.
Embody our culture and values.
Required Qualifications:
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:
#CAP #Copliot
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 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.
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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Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.
Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.
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