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Design and build AI-driven security automation platforms that protect cloud infrastructure across hundreds of services at hyperscale. Requires a bachelor's degree in computer science and 6+ years of engineering experience coding in C, C++, C#, Java, JavaScript, or Python, with preferred expertise in distributed systems, cloud services, secure coding practices, and AI/ML integration. 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.
Microsoft 365(M365) Intelligent Conversation and Communications Cloud is the platform that powers billions of real-time customer conversations across Teams, Skype, Dynamics, and third-party solutions (through Azure Communication Services). The platform enables reliable and high-quality messaging, meeting, and audio/video calling services that work every time, from anywhere, seamlessly across all customer touch points.
Conversations on our platforms are made more intelligent in real-time, empowering best-in-class productivity tools for the modern workplace where every call, meeting, or chat will make the next one better. IC3 Policies and settings are critical to drive adoption and revenue of Teams. We grew our global Teams MAU from 50M to 330M since 2020 through addition of over 600 controls spread across 50 policies and 25 settings. Our policy platform is a hyper scale platform serving 75 unique policies resulting in 3 billion runtime resolutions per day.
Join a team that’s redefining how cloud-scale security is built and delivered. At IC3 Security Engineering, we’re creating a future where intelligent systems automatically protect and remediate security risks across hundreds of services. You’ll be part of a mission-driven team centralizing security operations, empowering service owners, and using AI to transform risk mitigation into a proactive, scalable, and efficient process. In this team, you’ll work with passionate engineers who care deeply about protecting our cloud infrastructure and building smarter, safer systems for the world.
As a Principal Software Engineer in the AEGIS team, you will design and build the AI-driven platform that powers our centralized security automation and risk remediation. You’ll develop intelligent services that understand complex security requirements, evaluate service posture, and orchestrate automated fixes across IC3. This opportunity will allow you to accelerate your technical and career growth, gain deep expertise in large-scale cloud and security systems, and leverage cutting-edge AI to solve real-world challenges in security automation.
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.
Collaborates with appropriate stakeholders to determine user requirements for a scenario.
Drives identification of dependencies and the development of design documents for a product, application, service, or platform.
Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items.
Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.
Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
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:
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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