Microsoft Senior Software Security Engineer 

United States 

791831051

Required/minimum qualifications:

• Bachelor's Degree in Statistics, Mathematics, Computer Science, Risk Management, Cyber Security, or related field
  • OR 5+ years experience in software development lifecycle, large scale computing, modeling, cyber security, anomaly detection
  • OR equivalent experience.

• Certified Information Systems Security Professional (CISSP) Certification, Security+ Certification, or relevant certification.
• Master's Degree in Statistics, Mathematics, Computer Science, Risk Management, Cyber Security, or related field OR 5+ years experience in software development lifecycle, large scale computing, modeling, cyber security, anomaly detection
  • OR equivalent experience.

• 5+ years of industry experience in software development, software vulnerability management, and building world class solutions.

• Demonstrated software development skills, solution delivery capabilities, problem solving, and debugging skills including: Advance automation scripting skills with PowerShell and developing modules.

• Knowledge of Power BI, including the ability to design and develop interactive dashboards, reports, and data visualizations.

• Experience with web service architecture and engineering design principles to drive software development efforts.

• Experience with modern security models like OAuth and token-based authentication and authorization.

• Proficient in one of the cloud platforms (Azure, AWS, Google Cloud), prior experience developing and shipping services on Azure platform is a plus.

• Knowledge in AI/ML domain Security Fundamentals and Security for AI is a plus.
• Knowledge in vulnerability management practices to drive and prioritize remediation efforts.

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 January 3, 2024.

• Own automation AI Security Assurance and Validation scans, features, and user stories and deliver them with the highest quality exemplifying role model behaviour.
• Adhere to modern engineering practices such automated unit tests, code review, experimentation, CI/CD, telemetry, live site etc.
• Develop and optimize complex KQL queries for data analysis and security monitoring. Create and maintain dashboards and reports using Kusto for real-time insights. Design, develop, and implement security solutions and tools.
• Develop automation scripts and tools to streamline AI security operations and incident response. Integrate security tools and platforms to enhance overall security posture.
• Integrate Microsoft Defender with other security tools and platforms for a unified security approach.
• Collaborate across teams with engineering teams to integrate security best practices into the development lifecycle. Design and implement scalable and secure solutions on Azure.
• Applies and extrapolates best practices to reliably build code that is based on well-established methods while also applying best practices for new code development.
• Drives efforts to collect, classify, and analyze data on a range of metrics (e.g., health of the AI systems, where vulnerabilities might be occurring).
• Collaborates across assurance and validation solution development teams and stakeholders (e.g., project manager, technical lead) to determine user requirements for a scenario and transform the requirements to technology solutions.

Other:

• Embody our and