
10,000+ employees
Founded 1903
📦 Logistics
💼 Consulting
📣 Marketing
💰 Post-IPO Debt on 2023-08
Logistics • Consulting • Marketing
Ford Motor Company is a globally renowned automotive company based in the United States, established by Henry Ford. The company is committed to building a better world where every individual has the freedom to move and follow their dreams. Ford is dedicated to innovation, with a focus on services, experiences, and software alongside its traditional vehicle manufacturing. The company is actively involved in sustainability initiatives and aims to meet ambitious environmental targets. Ford values service, community impact, and strives to combine business success with social and environmental responsibility. With a rich history of over 121 years, Ford continues to adapt and lead in the evolving automotive landscape.
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10,000+ employees
Founded 1903
📦 Logistics
💼 Consulting
📣 Marketing
💰 Post-IPO Debt on 2023-08
Logistics • Consulting • Marketing
Ford Motor Company is a globally renowned automotive company based in the United States, established by Henry Ford. The company is committed to building a better world where every individual has the freedom to move and follow their dreams. Ford is dedicated to innovation, with a focus on services, experiences, and software alongside its traditional vehicle manufacturing. The company is actively involved in sustainability initiatives and aims to meet ambitious environmental targets. Ford values service, community impact, and strives to combine business success with social and environmental responsibility. With a rich history of over 121 years, Ford continues to adapt and lead in the evolving automotive landscape.
• Engineer, integrate, and operate AI Security and DevSecOps platforms supporting secure software delivery • Build scalable security capabilities that improve automation, operational efficiency, and developer productivity • Integrate security controls into developer workflows, CI/CD pipelines, and engineering platforms • Develop self-service capabilities, onboarding experiences, and developer enablement resources • Perform platform administration, upgrades, monitoring, troubleshooting, optimization, and production support • Engineer and support AI-powered code security solutions and emerging AI security technologies • Enable secure AI development practices across AI applications, agents, LLM-powered systems, and AI integrations • Improve security visibility through dashboards, metrics, reporting, and operational insights • Support vulnerability remediation through enhanced developer workflows and automated feedback mechanisms • Implement SAST, SCA, secrets detection, Infrastructure-as-Code security, container security, software supply chain security, and AI-assisted code security • Evaluate emerging security technologies and drive successful proof-of-concepts into enterprise adoption • Continuously improve the reliability, scalability, and usability of security platforms
• Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, or a related technical field, or equivalent • 8+ years of experience in Platform Engineering, DevSecOps, Application Security, or Cybersecurity Engineering • Proven experience designing, implementing, and operating enterprise-scale security platforms • Strong understanding of Secure Software Development Lifecycle (SSDLC), DevSecOps practices, developer workflows, and platform engineering • Strong scripting and automation experience using Python, PowerShell, shell scripting, or similar programming languages • Experience integrating security solutions into CI/CD pipelines and enterprise developer platforms • Hands-on experience with GitHub Enterprise, GitHub Actions, GitLab CI/CD, Azure DevOps, or Tekton • Experience with Kubernetes and container platforms • Experience with Terraform and Infrastructure as Code • Experience with public cloud platforms such as Azure, AWS, or GCP • Knowledge of application security concepts including SAST, SCA, secrets management, and software supply chain security • Strong communication and stakeholder management skills • Ability to translate security requirements into scalable engineering solutions • Preferred: experience with AI security technologies and platforms, securing LLMs, AI Agents, RAG systems, and AI-integrated enterprise applications • Preferred: experience with AI governance and secure AI development practices • Preferred certifications include CISSP, CSSLP, GCSA, Google Professional Cloud Security Engineer, Microsoft Azure Security Engineer Associate, AWS Security Specialty, CKS, HashiCorp Terraform Associate, and GitHub Advanced Security Certification
Apply Now🔥 11 hours ago
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