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Customer Security & Trust (CST) is Microsoft’s multidisciplinary organization responsible for protecting customers, countering cybercrime and nation‑state threats, advancing cybersecurity policy and compliance, and strengthening trust in the digital ecosystem. The CST Operations Engineering team is a small, collaborative and agile team that is at the center of this mission. We are looking for a Software Engineer II who is passionate about building secure, reliable systems at massive scale by leveraging the power of AI. In this role, you’ll work at the intersection of security, engineering excellence, and customer trust, helping design and deliver platforms that protect Microsoft’s customers, services, and data.
Job Responsibility:
Design and implement scoped features and components with guidance on broader system context
Contribute to technical design discussions and review designs for correctness, reliability, and maintainability
Write, test, deploy, and maintain production-quality code following established engineering practices
Create and maintain technical documentation for owned components
Collaborate with peers and partner teams to deliver features end to end
Identify and address bugs, performance issues, and operational gaps in owned areas
Apply security, reliability, and compliance best practices throughout the development lifecycle
Contribute to the implementation and integration of AI-enabled functionality, applying foundational AI/ML concepts under guidance
Requirements:
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
Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Experience delivering production-ready features with a solid foundation in software engineering fundamentals (data structures, algorithms, system design)
Familiarity with AI/ML concepts, including agentic workflows and integrating AI models into applications
Experience with cloud platforms, cloud-native architectures, and modern application development patterns
Exposure to containers, Azure Kubernetes Services (AKS), platform engineering, CI/CD pipelines, DevOps practices, and infrastructure automation
Experience building data solutions using Azure/Fabric Data Factory, including complex pipelines and dataflows
Ability to work independently and collaboratively in iterative development environments, with effective written and verbal communication skills