Senior Security Assurance Engineer Marketing Security Risk & Compliance

Microsofts Marketing Security Risk & Compliance team is looking for a Senior Security Assurance Engineer to lead complex security reviews and threat modeling for Microsoft Marketing services platforms and data. Microsoft Marketing operates a diverse technology estate that includes cloud services data platforms business applications artificial intelligence solutions and complex integrations across Microsoft. The team partners with engineering and business organizations to identify and address security risk through security reviews threat modeling Secure Development Lifecycle practices data-driven analysis and continuous this role you will provide senior technical security assurance across a portfolio of Marketing services. You will lead security reviews for complex services and high-impact initiatives evaluate technical architectures and security evidence identify material security risks and partner with engineering teams to drive findings through remediation and closure. You will help modernize security assurance from primarily manual point-in-time reviews toward a scalable intelligence-driven model that combines current service data cloud telemetry automated evidence collection AI-assisted analysis and expert engineering judgment. You will also identify recurring risks and opportunities to improve review standards automation and secure engineering practices across Marketing. This role requires strong technical judgment the ability to operate independently in complex environments and the ability to translate security findings into actionable engineering work.

- Lead end-to-end security reviews and threat-modeling engagements for complex Microsoft Marketing services applications platforms and data environments. - Analyze architecture data flows trust boundaries identities endpoints privileged access network exposure dependencies logging cloud configurations and security controls. - Apply Microsoft security requirements and Secure Development Lifecycle practices to identify design weaknesses implementation risks control gaps and missing evidence. - Lead security assurance for high-impact initiatives including tenant migrations new platforms AI solutions sensitive-data environments and major architectural changes. - Evaluate security evidence and make risk-based recommendations on technical issues remediation and security requirements. - Facilitate technical security discussions with service owners developers architects security and privacy teams Responsible AI practitioners and technical partners. - Validate automated and AI-assisted findings distinguish material risk from false positives and focus engineering teams on risks requiring action. - Document validated findings with clear severity impact remediation requirements ownership and closure evidence. - Translate security findings into clearly owned engineering work and track remediation through closure. - Review mitigation evidence and technical justifications validate remediation and escalate when evidence does not demonstrate sufficient risk reduction. - Use cloud telemetry attack-path analysis automated evidence collection and AI-assisted capabilities to improve review depth consistency and efficiency. - Build and operationalize automation that accelerates evidence collection security analysis risk identification reporting and remediation workflows. - Identify recurring control failures architectural weaknesses and systemic security risks across services. - Translate recurring findings into reusable guidance secure design patterns improved review practices and - Partner with service owners and engineering teams to apply Secure by Design Secure by Default and Secure Operations principles throughout the service lifecycle. - Contribute to security review standards technical playbooks templates decision frameworks training and reusable guidance. - Partner with software engineers and security platform teams to develop and improve automated security review capabilities and workflows. - Provide technical guidance and mentoring to Security Assurance Engineers improving review consistency and technical quality. - Communicate material risks technical tradeoffs remediation priorities and escalation needs clearly

Required Qualifications

• Bachelors Degree in Computer Science or related technical field AND 4 years technical engineering experience with coding in languages including but not limited to C C C# Java JavaScript or Python OR equivalent experience.

Preferred Qualifications

• Masters Degree in Computer Science or related technical field AND 6 years technical engineering experience with coding in languages including but not limited to C C C# Java JavaScript or Python OR Bachelors Degree in Computer Science or related technical field AND 8 years technical engineering experience with coding in languages including but not limited to C C C# Java JavaScript or Python OR equivalent experience.
• Experience conducting or leading security architecture reviews threat modeling application security assessments cloud security assessments or Secure Development Lifecycle activities.
• Experience assessing cloud architectures and security controls across identity networking data protection applications infrastructure secrets management logging monitoring and DevOps.
• Experience identifying security vulnerabilities architectural weaknesses control gaps and other material technical risks.
• Experience making risk-based technical recommendations in complex or ambiguous engineering environments.
• Experience working with engineering teams to translate security findings into actionable remediation and validating evidence through closure.
• Experience leading technical security engagements involving multiple engineering or business stakeholders.
• Demonstrated ability to communicate complex security risks architectural concerns and technical tradeoffs to engineering teams and other stakeholders.
• Experience leading complex security reviews or threat-modeling engagements across cloud services applications data platforms or enterprise systems.
• Strong understanding of threat-modeling methodologies secure architecture principles attack paths data flows trust boundaries and adversarial analysis.
• Experience securing Microsoft Azure services hybrid environments data platforms Power Platform Dynamics 365 or artificial intelligence systems.
• Experience with security and engineering platforms such as Azure DevOps Service Tree Microsoft Purview Defender for Cloud CodeQL or similar systems.
• Experience using automation data analysis or AI-assisted capabilities to improve security assessment evidence collection vulnerability identification or remediation workflows.
• Experience supporting cloud or tenant migrations platform modernization service transfers or other large-scale technical transitions.
• Experience validating automated security findings and differentiating material security risk from false positives.
• Experience developing or contributing to reusable security patterns control baselines automated guardrails assessment queries scripts dashboards or self-service security capabilities.
• Experience identifying recurring security weaknesses and translating individual findings into broader engineering or process improvements.
• Experience with privacy regulatory or compliance requirements affecting enterprise cloud services and data.
• Security certifications such as CISSP CSSLP CCSP GIAC or comparable credentials.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119800 - $234700 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 $160200 - $261000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
position will be open for a minimum of 5 days with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex (including pregnancy) sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process read more about requesting accommodations.

Required Experience:

IC