Sr Product Security Engineer, AI & DevSecOps

The ideal candidate combines hands-on software development experience with deep knowledge of application security, AI security, attack vectors, vulnerability remediation, and security automation.

What You’ll Do:

• Partner with development teams to incorporate security requirements throughout application design, development, testing, deployment, and operations
• Conduct security architecture reviews, threat modeling, secure design reviews, and assessments of applications, APIs, cloud services, and AI-enabled systems
• Write and review code to identify vulnerabilities, attack vectors, and opportunities to strengthen secure development practices
• Develop reusable security patterns, shared services, and automated guardrails that help engineering teams deliver products securely and efficiently
• Assess and secure AI, machine learning, generative AI, and large language model solutions, including the secure use of AI-assisted development tools
• Integrate automated security testing into CI/CD pipelines, including SAST, DAST, software composition analysis, secrets detection, container scanning, and infrastructure scanning
• Design security controls for cloud-native applications, containers, Kubernetes, serverless platforms, and infrastructure-as-code deployments
• Partner with engineering and cybersecurity teams to assess risk, remediate vulnerabilities, respond to security concerns, and promote a security-first engineering culture

Basic Requirements:

• Degree in Computer Science, Information Security, Engineering, or a related technical field, or equivalent professional experience
• Typically requires 7 or more years of relevant experience in application security, product security, software development, security engineering, DevSecOps, or a related discipline
• Hands-on experience writing, reviewing, and deploying application code using TypeScript, Java, Ruby, Python, or comparable languages
• Strong understanding of application attack vectors, secure coding practices, software vulnerabilities, and modern application architectures
• Experience conducting threat modeling, security architecture reviews, secure design reviews, and vulnerability remediation
• Experience implementing DevSecOps practices and integrating automated security controls into CI/CD pipelines
• Experience securing AI/ML platforms, generative AI solutions, large language model applications, or AI-assisted development workflows
• Experience with cloud platforms, containers, Kubernetes, infrastructure-as-code, security automation, and application security testing tools

Preferred Skills and Experience:

• Knowledge of AI security frameworks and controls, including the OWASP Top 10 for LLM Applications and the NIST AI Risk Management Framework
• Experience creating reusable security services, secure development patterns, engineering guardrails, or policy-as-code solutions
• Experience with CI/CD and infrastructure technologies such as GitHub Actions, Azure DevOps, GitLab, Jenkins, or Terraform
• Experience supporting frameworks such as SOC 2, HIPAA, SOX, NIST CSF, or ISO 27001
• Ability to translate complex security requirements and technical risks into practical guidance for development teams
• Strong collaboration and influencing skills, with the ability to advance security without unnecessarily slowing product delivery

McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role.

Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future.

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 McKesson's 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, please click here.

Our Base Pay Range for this position

$140,300 - $233,800

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McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

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McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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