Engineering Manager, Labs
New
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Microsoft
NewLead end-to-end design and delivery of data protection capabilities for Microsoft's security platform, working with distributed systems that discover and classify sensitive data across Microsoft 365, endpoints, and multicloud environments. This deeply hands-on role requires 6+ years of engineering experience coding in C, C++, C#, Java, JavaScript, or Python, with preference for 8+ years building scalable cloud services and leading technical architecture across teams. You'll write substantial production code, solve complex distributed-systems challenges, drive cross-team alignment, and mentor engineers while maintaining operational excellence at cloud scale. Base pay ranges from $142,800–$274,800 annually, or $188,000–$304,200 in the San Francisco Bay Area and New York City.
Written from this posting by Neural Jobs AI. The full description is below.
Security represents one of the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end-to-end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate.
Purview Team is building the data security platform for the era of AI. Our team develops globally distributed services that discover and classify sensitive data at scale and enforce protection across Microsoft 365, endpoints, AI experiences, and multicloud data estates. As autonomous agents increasingly read documents, call tools, create derived content, and act on a user’s behalf, the industry needs new ways to understand where sensitive data originated, how it was transformed, and which protections follow it through every interaction. We are looking for a Principal Software Engineer to lead the design, development, and delivery of the next generation of data protection capabilities. You will own critical product areas end to end, translating customer and business needs into architecture and then driving those solutions through implementation, validation, deployment, and live-site operations. This is a deeply hands-on engineering role where you will write substantial production code, solve complex distributed-systems challenges, lead the implementation of critical components, and remain closely connected to the code and operational behavior of the systems you own. You will also drive technical alignment across partner teams, resolve cross-service dependencies, and ensure that solutions are scalable, reliable, secure, and ready for production. The scope requires both effective individual technical contribution and the ability to multiply the impact of others. You will work through ambiguity, use customer signals, engineering data, and sound technical judgment to identify and prioritize the highest-impact problems, and create clarity that enables multiple teams to execute against a shared direction. You will raise the engineering bar through design and code reviews, mentoring, engineering excellence, and operational leadership while influencing technical decisions beyond your immediate team. If you want to build production systems, lead consequential projects from idea through sustained operation, and help define how enterprise data is protected as AI becomes a fundamental part of computing, this is an opportunity to have significant product and customer impact.
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.
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:
Preferred Qualifications:
#MSFTSecurity #SecurityAI #DataSecurity #MicrosoftPurview #PurviewForAI
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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