Senior Software Engineer - Marketing Security Risk & Compliance

Design, develop, test, deploy, and operate software services, automation, tools, and integrations supporting Marketing security and compliance programs. * Develop automation to collect, normalize, correlate, and analyze security signals from cloud resources, applications, identities, networks, data platforms, code-security systems, service metadata, and security tooling. * Build scalable security analytics and risk-detection capabilities that identify attack paths, recurring vulnerabilities, systemic weaknesses, and emerging security patterns across the Marketing landscape. * Develop AI-enabled security automation and agents that accelerate evidence collection, threat identification, risk analysis, finding generation, remediation guidance, and security-program workflows. * Engineer reusable services, APIs, queries, pipelines, integrations, and workflow automation that enable security and compliance programs to operate at scale. * Build automation supporting security compliance and continuous assurance programs, including control validation, evidence collection, gap identification, exception management, and remediation tracking. * Perform end-to-end threat modeling and technical security reviews for Marketing services, platforms, AI solutions, tenant migrations, and other high-impact initiatives. * Analyze business context, service architecture, data flows, trust boundaries, service dependencies, identities, endpoints, privileged access, network exposure, logging, data classifications, and security controls. * Use findings from threat models, incidents, security assessments, and security telemetry to identify opportunities for new automated controls and detection capabilities. * Validate automated and AI-generated security findings, reduce false positives, improve detection quality, and ensure automation focuses engineering teams on material risk. * Integrate security findings and remediation workflows with appropriate engineering tracking and security systems. * Develop mechanisms to measure security posture, compliance assurance, remediation progress, and recurring risk patterns across Marketing services. * Partner with service engineers, architects, security teams, privacy teams, Responsible AI practitioners, and program owners to design practical security solutions. * Provide engineering support for tenant migrations, platform modernization, AI adoption, and other high-impact programs where security capabilities must be integrated into the engineering lifecycle. * Develop reusable security patterns, libraries, templates, and engineering guidance that allow service teams to implement security requirements consistently. * Contribute to architecture and design decisions for security platforms, automation frameworks, data pipelines, and AI-enabled security capabilities. * Mentor engineers and security practitioners on secure engineering, threat modeling, security automation, and the effective use of security telemetry. * Communicate systemic security risks, engineering priorities, and remediation strategies clearly to service teams, program owners, and leadership. * Experience conducting or contributing to threat modeling, security architecture reviews, application security assessments, or Secure Development Lifecycle activities. Bachelor's 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. Master's 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 Bachelor's 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. Professional software development experience using one or more general-purpose programming languages. Experience designing, developing, testing, deploying, and operating production software, automation, services, or engineering tools. Experience developing solutions using APIs, data pipelines, cloud services, automation frameworks, or distributed systems. Experience with cybersecurity principles and identifying vulnerabilities, design weaknesses, insecure configurations, or security-control gaps. Experience building security platforms, developer-security tooling, compliance automation, security analytics, vulnerability-management systems, or continuous-assurance capabilities. Experience developing security automation using cloud-resource APIs, security telemetry, code-security signals, identity information, asset inventories, or configuration data. Experience applying AI, machine learning, large language models, agents, or other AI technologies to security engineering, automation, or operational workflows. Experience designing systems that correlate multiple security signals to identify vulnerabilities, attack paths, control gaps, or systemic risk. Experience with threat-modeling methodologies, attack-path analysis, data-flow diagrams, trust boundaries, and secure architecture reviews. Experience with Azure DevOps, CI/CD systems, code-security platforms, cloud-security posture management, data-classification tooling, or similar engineering systems.