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 embed security throughout our software development lifecycle with a focus on AI-enabled products cloud-native platforms and DevSecOps practices.

This is a hands-on technical role for a security-minded software developer who understands how applications are designed written deployed and operated. You will partner directly with engineering platform architecture and product teams to translate security requirements into practical guidance reusable patterns shared services and automated controls that help teams deliver products faster and more securely.

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

• 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

• 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

• 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 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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