Sr Product Security Engineer, AI & DevSecOps

McKesson; Columbus (OH); On-site; USD 140,000 - 234,000; Full time

Job summary

McKesson is seeking a Senior Product Security Engineer, AI & DevSecOps, to embed security across the software development lifecycle with a focus on AI-enabled products and cloud-native platforms.

This hands-on role partners with engineering, platform, architecture, and product teams to translate security requirements into practical guidance, reusable patterns, and automated controls that help teams deliver safer software.

Qualifications

• 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

Responsibilities

• 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

Skills

TypeScript

Java

Ruby

Python

Education

Degree in Computer Science or Information Security or Engineering

Tools

GitHub Actions

Azure DevOps

GitLab

Jenkins

Terraform

Job description

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 tomorrow’s 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.

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.

Our Base Pay Range for this position

$140,300 - $233,800

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) [e-mail] or (Canada) [e-mail]. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!