Microsoft

Senior Software Security Engineer

US
USD 117k - 250k
PowerShell Azure AWS GCP
Description

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

We are looking for a Senior Software Security Engineer to join our organization to develop third party and artificial intelligence assurance and validation solutions. As a Senior Software Security Engineer, you will be responsible for working across multiple teams of engineers, product managers and partners to design and lead the development, implementation, deployment and support of the assurance solution features and services needed to support the diverse range of complex security functions in 3rd Party and Artificial Intelligence software assurance and validation automation.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

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.
Additional or preferred qualifications:
  • 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.

Security Assurance IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until January 3, 2024.

 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

 

#softwareengineering #AI/ML #vulnerabilitymanaegment #identitymanagement #APISec #LLMSec #3PSec #MSFTNSBE25

  • 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:

Microsoft
Microsoft
Data Management Developer Tools DevOps Enterprise Software Operating Systems

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