Microsoft Security Software Engineer II 

Taiwan, Taoyuan City 

492547643

Required/minimum qualifications

• Bachelor's Degree in Computer Science or related technical field AND 2+ 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 in machine learning, MLOps/AIOPs
• 1+ years of experience with Azure Machine Learning, Azure Fabric, Synapse, or similar platforms.

• Proven track record of deploying large-scale machine learning systems in production.
• Experience with cloud platforms (Azure preferred) and infrastructure as code (e.g., Terraform, ARM templates).
• Experience optimizing ML models for performance and scalability in production environments.
• Hands-on experience in building and deploying ML models in a cloud environment (preferably Azure).
• Experience with containerization (Docker, Kubernetes) and microservices architecture.
• Basic understanding of model monitoring, retraining, and model governance practices.

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

Microsoft will accept applications for the role until May 5, 2025.

• Design, implement, and support AI-driven adversary emulation tooling
• Support partner development teams and the open source community in contributing to our services
• Build deep relationships with peers through design and code reviews, and peer mentoring
• Analyze emerging attack techniques from red teams, adversarial researchers, and external threat actors, leveraging these insights to develop and refine advanced security tooling.
• Develop and maintain MLOps/AIOPs pipelines to automate the end-to-end lifecycle of machine learning models (from development to deployment, monitoring, and retraining).
• Manage infrastructure for ML workloads using cloud-native tools (Azure, Kubernetes, Docker) or other container orchestration platforms.