Senior Security Software Engineer

The Cloud & AI 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. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Microsoft is one of the largest enterprise service companies in the world. 

Microsoft Red Team (MRT) helps Microsoft anticipate emerging threats and strengthen the security of products, services, and AI systems. AI is increasingly important to that mission as capabilities and threat models evolve. Within MRT, the Microsoft AI Red Team identifies risks in Microsoft’s AI systems. This role provides the infrastructure support that enables engineers, researchers, and red teamers to carry out their work. 

We are looking for a Senior Security Software Engineer to join the Microsoft AI Red Engineering Team. In this role, you will own building and operating secure and reliable Azure GPU infrastructure used by our engineers, researchers, and red teamers. You will apply hands-on AI engineering to deploy, operate, and troubleshoot secure distributed training and reinforcement-learning (RL) environments for long-running research workloads, working closely with stakeholders to understand their needs and translate them into scalable infrastructure capabilities.

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

• Design, deploy, operate, and troubleshoot secure distributed AI infrastructure in a reliable and scalable way, including multi-node, multi-GPU training and reinforcement-learning environments.
• Build fleet-level automation and infrastructure-as-code for remediation, repeatable configuration, and drift detection. Turn recurring findings into durable engineering fixes that prevent recurrence.
• Work independently from ambiguous research and infrastructure requirements to develop technical designs and production-ready solutions.
• Partner closely with stakeholders to understand their needs, clarify requirements, and prioritize the highest-impact solutions
• Drive alignment across engineers, researchers, and partner teams on infrastructure architecture, security and reliability tradeoffs, dependencies, and delivery.
• Build and improve automation that enables rapid deployment and operation of AI models and supporting infrastructure
• Build solid relationships with peers through design and code reviews, technical collaboration, and mentoring
• Embody our Culture and Values 

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

• - Citizenship & Citizenship Verification: 
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• This position requires verification of citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport.
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• This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations or Export Administration Regulations, the EU Dual Use Regulation, and/or other export control regulations. As a condition of employment, the successful candidate will be required to provide either proof of their country of citizenship or proof of their U.S. permanent residency or other protected status (e.g., under 8 U.S.C. 1324b(a)(3)) for assessment of eligibility to access the export controlled information. To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable.
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• - 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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Experience designing, deploying, and operating cloud infrastructure, including distributed, multi-node, multi-GPU training environments.
• Experience developing software and automation for production systems.
• Experience deploying and operating AI infrastructure in Azure, including GPU-backed compute, networking, model serving, and platforms such as Azure AI Foundry or Azure Machine Learning.
• Experience integrating or operating RL training stacks such as SkyRL, verl, or OpenRLHF and agent environments or sandbox tooling such as Harbor.
• Experience with containers, infrastructure-as-code, CI/CD, monitoring, and observability.
• Experience diagnosing GPU, interconnect, or performance issues in GPU or high-performance computing (HPC) infrastructure.
• Proficiency writing clean, efficient, and maintainable Python code.
• Understanding of LLM inference, model deployment, and the performance, capacity, and reliability requirements of large AI models.
• Experience driving technical projects from ambiguous requirements to production, including stakeholder alignment and architectural decisions.
• Experience in cybersecurity, AI security, or red teaming.

Software 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.