Software Engineer II - Customer Security & Trust

Microsoft • Redmond, WA

1d

About The Position

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. CST brings together policy, legal, threat intelligence, engineering, and national security expertise to help make the digital world safer and more trusted.
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.
You’ll collaborate with world-class engineers, security experts, and product teams to solve hard problems—designing systems that are resilient by default, secure by design. If you thrive on technical depth, real-world impact, and engineering with purpose, this role is for you.

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.

Nice To Haves

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees