Senior Product Security Engineer – AI, DevSecOps
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Job Description
Senior Product Security Engineer securing McKesson’s healthcare software and AI systems. Designing cloud, CI/CD, and DevSecOps controls for resilient products.
Responsibilities:
- Conduct security architecture reviews, threat modeling, and security assessments for applications, APIs, cloud services, and AI-enabled systems
- Define and implement security requirements, standards, reusable design patterns, and security guardrails across the software development lifecycle
- Identify, assess, and help mitigate security risks while partnering with engineering teams to remediate vulnerabilities and strengthen secure coding practices
- Assess and secure AI, machine learning, and generative AI solutions, including controls for model governance, secure access, data protection, and AI risk management
- Design and implement security controls for cloud-native applications, containers, Kubernetes, serverless platforms, and infrastructure-as-code deployments
- Integrate security controls and automated testing into CI/CD pipelines, including SAST, DAST, software composition analysis, secrets detection, container scanning, and infrastructure scanning
- Develop security automation using scripting, infrastructure-as-code, policy-as-code, and compliance-as-code technologies
- Support identity and access management, secrets management, cloud security monitoring, vulnerability management, and incident response activities
- Contribute to compliance initiatives, security metrics, risk reporting, and continuous improvement efforts
- Provide technical guidance on secure development practices and champion a security-first engineering culture
- Partner with engineering, platform, architecture, and product teams to design secure solutions and strengthen application and AI-system security posture
Requirements:
- Degree in Computer Science, Information Security, Engineering, or related technical field, or equivalent experience
- Typically requires 7+ years of relevant experience in application security, product security, security engineering, or a related cybersecurity discipline
- Experience conducting security architecture reviews, threat modeling, secure design reviews, and vulnerability remediation
- Experience implementing DevSecOps practices and integrating security controls into CI/CD pipelines
- Experience securing AI/ML platforms, generative AI solutions, large language model applications, or data science workflows
- Experience with secure software development lifecycle practices, vulnerability management, and Agile development methodologies
- Experience with Microsoft Azure, AWS, or Google Cloud Platform and cloud-native technologies including containers and Kubernetes
- Experience with infrastructure-as-code and CI/CD technologies such as Terraform, GitHub Actions, Azure DevOps, GitLab, Jenkins, or similar tools
- Proficiency in scripting and automation using Python, PowerShell, Bash, or comparable languages
- Experience with security tooling including SAST, DAST, software composition analysis (SCA), container security, secrets detection, and infrastructure scanning
- Knowledge of AI security frameworks and controls, including the OWASP Top 10 for LLM Applications and the NIST AI Risk Management Framework
- Experience implementing policy-as-code, compliance-as-code, or security automation solutions
- Experience supporting regulatory and control frameworks such as SOC 2, HIPAA, SOX, NIST Cybersecurity Framework (CSF), or ISO 27001
- Experience with Security Orchestration, Automation, and Response (SOAR) platforms
- Ability to communicate complex technical risks and tradeoffs to both technical and non-technical stakeholders
- Ability to influence across teams, contribute to technical standards, and promote secure engineering practices
Benefits:
- Competitive compensation package
- Annual bonus or long-term incentive opportunities may be offered
- Equal employment opportunities
- Reasonable accommodation for job search or application
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