Microsoft Back-End Senior Software Engineer - Security AI 

Taiwan, Taoyuan City 

894125258

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 Python

  • OR equivalent experience.

• 3+ years of experience designing, developing, or maintaining secure software systems , with applied knowledge of authentication , data protection , access control , and secure coding practices .

• 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 .​
• 2+ years of experience applying distributed systems concepts such as concurrency, conflict resolution , and consensus algorithms to build resilient and maintainable back-end architectures .​
• 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 .​

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:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Additional or 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 Python

  • 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

  • OR equivalent experience.

• 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 .

• 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 .​

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• 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.