Sr Product Security Engineer, AI & DevSecOps

McKesson is an impact-driven Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights products and services that make quality care more accessible and affordable. Here we focus on the health happiness and well-being of you and those we serve we care.

What you do at McKesson matters. We foster a culture where you can grow make an impact and are empowered to bring new ideas. Together we thrive as we shape the future of health for patients our communities and our people. If you want to be part of tomorrows health today we want to hear from you.

CoverMyMeds is seeking a Senior Product Security Engineer AI & DevSecOps to help embed security throughout our software development lifecycle with a focus on AI-enabled products cloud-native platforms and DevSecOps this role you will partner closely with engineering platform architecture and product teams to design secure solutions automate security controls and strengthen the security posture of applications and AI systems. You will serve as a security subject matter expert for modern application architectures machine learning platforms generative AI solutions CI/CD pipelines and cloud infrastructure.

This position is ideal for a security professional who enjoys combining hands-on technical expertise automation and secure engineering practices to help teams deliver secure compliant and resilient products at scale.

What Youll Do:

• 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

Basic 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 cloud platforms such as 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

Preferred Skills & Experience:

• 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

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors including performance experience and skills equity regular job market evaluations and geographical markets. The pay range shown below is aligned with McKessons pay philosophy and pay will always be compliant with any applicable regulations. In addition to base pay other compensation such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson pleaseclick here.

Our Base Pay Range for this position

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