As AI reshapes how software is built and defended, Microsoft Security is standing up a new Engineering Excellence organization that will define what world-class security engineering looks like in the agentic AI era. Engineering teams that lead in the AI era are organized around outcomes, built on shared platforms any team can draw from, and augmented by agents that are part of the daily workflow. Governance runs at the speed of development. This organization will build that foundation for Microsoft Security, and in doing so, help define what engineering excellence looks like at AI scale.
Mission:
Deliver high-quality systems and tools that improve developer productivity, strengthen reliability, and support adoption of AI-assisted engineering workflows across Microsoft Security.
Responsibilities
What You’ll Do:
In this role, you will develop features in engineering platforms, pipelines, and developer tooling that improve daily developer experience and velocity. You will contribute to AI-assisted workflows such as automation, testing support, and code generation, partner with teams to adopt shared tools and practices, and help instrument engineering health signals so teams can understand where systems are working well and where they need improvement.
Expectations:
The ideal candidate has a solid foundation in software engineering, build systems, service architecture, and secure development practices, with exposure to or strong interest in AI-assisted engineering workflows. They should be able to debug and operate within complex engineering environments, learn across systems and tooling, and contribute to shared, governed platforms that help raise consistency across the organization.
Candidates for this role should demonstrate an emerging engineering excellence mindset. The right person will not simply complete assigned features but look for ways to make shared systems simpler, more reliable, and easier for other engineers to use. They should show curiosity about how developers work, care deeply about quality and maintainability, and be willing to grow across engineering systems, tooling, and AI-enabled workflows.
Qualifications
Required/minimum qualifications
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.
Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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.
Skills Required
- Master's or Bachelor's degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field OR equivalent experience (Master's +3 years OR Bachelor's +4 years experience)
- 3+ years (with Master's) or 4+ years (with Bachelor's) experience in business analytics, data science, software development, data modeling, or data engineering
- Ability to meet Microsoft, customer and/or government security screening requirements, including passing the Microsoft Cloud Background Check
- Experience with data governance, data compliance and/or data security (2+ years)
- Solid foundation in software engineering, build systems, service architecture, and secure development practices; interest or exposure to AI-assisted engineering workflows
- Higher-seniority alternative qualifications: Master's +6 years OR Bachelor's +8 years experience (preferred/alternative)
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
