Back-End Senior Software Engineer - Security AI
Job Description
Security represents 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. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their authentic selves each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Join the Microsoft Security AI Team as a Back-End Senior Software Engineer - Security AI and help shape the future of secure, intelligent systems. Our team is dedicated to building advanced AI-driven solutions that protect millions of users and enterprises worldwide. We combine cutting-edge machine learning with deep security expertise to deliver products that anticipate threats, safeguard data, and enable trust at scale. As part of this collaborative, high-impact team, you’ll work alongside world-class engineers and researchers to design and implement solutions that set new standards for security innovation. We value simplicity, efficiency, and continuous learning, empowering you to solve complex challenges with creativity and rigor. If you’re passionate about security, AI, and building technology that makes a global difference, this is your opportunity to join a team where your work truly matters. 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.
Locations
- Multiple Locations, Multiple Locations, United States, Multiple Locations, Multiple Locations, United States (Remote)
Salary
Salary not disclosed
Required Qualifications
- Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR equivalent experience. (degree)
- OR equivalent experience. (degree)
- 3+ years of experience designing, developing, or maintaining secure software systems, with applied knowledge of authentication, data protection, access control, and secure coding practices. (degree)
- 3+ years of experience designing, building, and operating scalable, highly available cloud services or distributed systems on platforms such as Azure, AWS, GCP, or comparable cloud environments, with production ownership and CI/CD pipeline integration. (degree)
- 2+ years of experience applying distributed systems concepts such as concurrency, conflict resolution, and consensus algorithms to build resilient and maintainable back-end architectures. (degree)
- 2+ years of experience building systems with emphasis on reliability, durability, and operational efficiency, including experience with live site operations, incident response, and performance optimization. (degree)
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. (degree)
- Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR equivalent experience. (degree)
- OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python (degree)
- OR equivalent experience. (degree)
- 2+ years of experience designing or working with secure execution environments (e.g., sandboxing, containerization, virtualization) for safe workload handling, including exposure to malware analysis or threat intelligence workflows. (degree)
- 2+ years of experience in MLOps, AIOps, or SecDevOps, including deploying and maintaining ML/AI services on cloud platforms such as Azure, AWS, or GCP, with a focus on automation, scalability, and security. (degree)
Preferred Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR equivalent experience. (degree)
- OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python (degree)
- OR equivalent experience. (degree)
- 2+ years of experience designing or working with secure execution environments (e.g., sandboxing, containerization, virtualization) for safe workload handling, including exposure to malware analysis or threat intelligence workflows. (degree)
- 2+ years of experience in MLOps, AIOps, or SecDevOps, including deploying and maintaining ML/AI services on cloud platforms such as Azure, AWS, or GCP, with a focus on automation, scalability, and security. (degree)
Responsibilities
- Design and build scalable infrastructure to support security automation, service reliability, and AI-driven threat protection across global environments.
- Develop secure execution environments that ensure safe handling of sensitive workloads, including malware analysis, threat intelligence, and sandboxing.
- Implement and optimize CI/CD pipelines to streamline deployments, improve system efficiency, and enhance automation for rapid, reliable releases.
- Integrate security best practices into infrastructure and service orchestration by collaborating with cross-functional teams across engineering, product, and security.
- Drive innovation in secure computing by researching, prototyping, and implementing emerging technologies to strengthen security and performance.
- Architect and maintain high-availability systems that meet stringent reliability and compliance standards for mission-critical security services.
- Develop APIs and microservices that enable seamless integration of AI-driven threat detection and response capabilities into enterprise workflows.
- Monitor, analyze, and improve system performance through telemetry, observability tools, and proactive optimization strategies.
- Champion secure coding practices and threat modeling throughout the development lifecycle to minimize vulnerabilities and ensure resilience.
- Mentor engineers and contribute to technical leadership, fostering a culture of collaboration, learning, and continuous improvement.
Travel Requirements
0 days / week in-office - remote
