Senior Product Security Engineer – AI, DevSecOps

Job not on LinkedIn

🔥 4 minutes ago

🌪️ Kansas, Ohio, +1 more states – Remote

🌪️ Kansas – Remote 🏈 Ohio – Remote 🤠 Texas – Remote

💵 $140.3k - $233.8k / year

⏰ Full Time

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

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McKesson

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1833

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

McKesson is a diversified healthcare leader specializing in pharmaceutical distribution, medical supplies, and healthcare services. Their solutions facilitate patients' access to life-changing therapies, support efficient operations for pharmacies, health systems, and clinics, and address critical issues such as drug shortages through a resilient supply chain. McKesson provides comprehensive services such as pharmacy management software, consulting, and technology solutions for specialty practices, focusing on improving health outcomes and advancing the pharmaceutical industry. They work closely with biopharma companies to enhance medication access, adherence, and commercialization while supporting oncology and biopharma practices through data-driven insights and real-world evidence.

📋 Description

• 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 • Partner with engineering, platform, architecture, and product teams to design secure solutions and strengthen application and AI-system security posture

🎯 Requirements

• 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 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 • 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

🏖️ Benefits

• Competitive compensation package • Annual bonus or long-term incentive opportunities may be offered • Equal employment opportunities • Reasonable accommodation for job search or application