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 tomorrow’s health today, we want to hear from you.

Cover My Meds  is seeking a Senior Product Security Engineer, AI & Dev Sec Ops  to embed security throughout our software development lifecycle, with a focus on AI-enabled products, cloud-native platforms, and Dev Sec Ops  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, Dev Sec Ops , or a related discipline

Hands-on experience writing, reviewing, and deploying application code using Type Script, 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 Dev Sec Ops  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…