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As a Senior Platform Engineer Secure AI DevSecOps, you will design, build, integrate, and operate enterprise-scale security platforms that support secure software development and AI-powered solutions. Working closely with Cybersecurity, Platform Engineering, and application development teams, you will embed security into developer workflows, automate security processes, and improve visibility across the software development lifecycle.This role offers a unique opportunity to shape Ford's next generation of AI security and DevSecOps capabilities while enabling engineering teams to build secure, scalable, and innovative solutions. Platform Engineering & SecurityEngineer, 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.AI Security & Application SecurityEngineer 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.Secure Development CapabilitiesImplement and support security capabilities including:Static Application Security Testing (SAST)Software Composition Analysis (SCA)Secrets DetectionInfrastructure-as-Code SecurityContainer SecuritySoftware Supply Chain SecurityAI-Assisted Code SecurityInnovationEvaluate emerging security technologies and drive successful proof-of-concepts into enterprise adoption.Continuously improve the reliability, scalability, and usability of security platforms. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, or a related technical field.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 practicesDeveloper workflows and platform engineeringStrong scripting and automation experience using:PythonPowerShellShell ScriptingSimilar programming languagesExperience 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 TektonKubernetes and container platformsTerraform and Infrastructure as CodePublic cloud platforms (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 Qualifications Experience with AI security technologies and platforms such as:Microsoft MDASHGoogle CodeMenderCycodeWiz CodeSonarQubeFOSSASimilar AI-assisted security solutionsExperience securing:Large Language Models (LLMs)AI AgentsRetrieval-Augmented Generation (RAG) systemsAI-integrated enterprise applicationsExperience with AI governance and secure AI development practices.Preferred Certifications CISSPCSSLPGIAC Cloud Security Automation (GCSA)Google Professional Cloud Security EngineerMicrosoft Azure Security Engineer AssociateAWS Security SpecialtyCertified Kubernetes Security Specialist (CKS)HashiCorp Terraform AssociateGitHub Advanced Security Certification #LI-MF2 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.