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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Product Security Engineer, AI & DevSecOps - **Company:** McKesson - **Location:** Columbus, OH, United States - **Experience:** Expert - **Salary:** $140,300.0 - $233,800.0 - **Contract:** Permanent contract - **Skills:** Kubernetes Security, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Computing Security, Cyber Security, Software Design Patterns, Github, Identity and Access Management, Python (Programming Language), Key Management, Machine Learning, Open Web Application Security, Windows PowerShell, Cloud Services, Azure Machine Learning, Secure Coding, Software Deployment, Software Engineering, Systems Integration, Software Vulnerability Management, Policy as Code, Google Cloud, Cloud Platform System, Spring Cloud, Large Language Models, Software Security, Generative AI, Gitlab, Containerization, Kubernetes, Information Technology, Terraform, Data Pipelines, Devsecops, Serverless Computing, Security Orchestration, Automation & Response, Jenkins, Static Application Security Testing, Dynamic Application Security Testing - **Published:** September 23, 2026 - **Apply:** https://mckesson.wd3.myworkdayjobs.com/en-US/External_Careers/job/USA-OH-Columbus/Sr-Product-Security-Engineer--AI---DevSecOps_JR0152750 ## About the Role * 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 ## Description 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 practices. In 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 You'll 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 ## Related Videos - [GitLab CI pipelines for a whole company](https://www.wearedevelopers.com/videos/143-gitlab-ci-pipelines-for-a-whole-company) - [Real-World Security for Busy Developers](https://www.wearedevelopers.com/videos/1545-real-world-security-for-busy-developers) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Enabling automated 1-click customer deployments with built-in quality and security](https://www.wearedevelopers.com/videos/83-enabling-automated-1-click-customer-deployments-with-built-in-quality-and-security) - [Automated Security for the Entire SDLC](https://www.wearedevelopers.com/videos/100323-automated-security-for-the-entire-sdlc) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Events like RSAC Get You CISOs. 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