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Tier-1 brand, remote role, generalist platform title, and broad DevSecOps skillset drive high competition.
Requires specialized DevSecOps and AI security platform expertise, so background fit sensitivity is high.
Explicit 8+ years requirement and mandatory enterprise DevSecOps platform experience make shortlisting highly strict.
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Design, build, integrate, and operate enterprise-scale AI security and DevSecOps platforms supporting secure software delivery and software development lifecycle.
Embed and automate security controls within developer workflows, CI/CD pipelines, and engineering platforms to improve automation, operational efficiency, and developer productivity.
Develop self-service capabilities, enable secure AI development practices, and support platform administration including monitoring, troubleshooting, and production support.
Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, or 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 scripting and automation skills (Python, PowerShell, Shell), experience with CI/CD tools (GitHub Actions, GitLab CI/CD, Azure DevOps), Kubernetes, Terraform, and public cloud platforms (Azure, AWS, or GCP).
Experienced in integrating security solutions into developer workflows and enterprise platforms with focus on secure software development lifecycle and DevSecOps.
Familiarity with AI security technologies, securing AI applications like LLMs, AI agents, and AI-integrated enterprise systems.
Capable of translating security requirements into scalable engineering solutions, with strong communication and stakeholder management skills.