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Tier-1 brand and remote role but specialized DevSecOps reduces applicant density.
Highly domain-specific DevSecOps and AI security expertise limits cross-industry transferability.
Multiple mandatory technical skills, 8+ years experience, and security specialization increase shortlisting rigidity.
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Design, build, integrate, and operate enterprise-scale AI Security and DevSecOps platforms to support secure software development and AI-powered solutions.
Integrate security controls into developer workflows, CI/CD pipelines, and engineering platforms, enhancing automation, operational efficiency, and developer productivity.
Develop self-service capabilities and enable developer onboarding, while providing platform administration, monitoring, troubleshooting, optimization, 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.
Strong scripting and automation skills in Python, PowerShell, Shell scripting, or similar languages.
Experience integrating security solutions into CI/CD pipelines and enterprise developer platforms, with hands-on experience in GitHub Enterprise, GitLab CI/CD, Terraform, Kubernetes, and public cloud platforms (Azure, AWS, or GCP).
Proven track record designing, implementing, and operating enterprise-scale security platforms with a deep understanding of Secure Software Development Lifecycle (SSDLC) and DevSecOps practices.
Experience in AI security technologies and securing AI systems such as Large Language Models, AI Agents, and AI-integrated enterprise applications.
Ability to translate security requirements into scalable engineering solutions supported by strong communication and stakeholder management skills.