Security Engineer – Infrastructure Security, Cloud & AI Platforms

We are seeking a Security Engineer specializing in infrastructure security for AI platforms to help design and secure cloud-native, distributed, and GPU-accelerated systems
. This role sits at the intersection of cloud security, container security, and AI infrastructure
, protecting critical systems that support large-scale AI training and inference workloads. You'll partner closely with platform, infrastructure, and AI teams to embed security by design
, build scalable defenses, and address emerging security challenges across centralized and distributed AI environments
.

• Design and implement infrastructure security architectures for AI platforms and cloud-native systems
• Secure distributed systems
  , containerized workloads, and Kubernetes-based environments
• Build and operate identity, access management, and network security controls
• Develop scalable security tooling, automation, and guardrails for AI workloads
• Collaborate with engineering teams to integrate Dev Sec Ops  best practices into CI/CD pipelines
• Identify and mitigate risks across cloud, GPU, and high-performance computing environments

• Bachelor's degree in Computer Science, Information Security
  , or a related technical field
• 5+ years of experience in information security, infrastructure security, or network security
• Strong experience with cloud security architectures
  , identity and access management (IAM), and network defense
• Hands-on experience securing distributed systems and containerized environments

• Master's degree in Cybersecurity or a related field
• Deep, hands-on experience with Kubernetes security
  , container hardening, and runtime protection
• Experience securing GPU-based systems and high-performance computing (HPC) environments
• Proven ability to build scalable security infrastructure for AI and ML workloads
• Experience with Dev Sec Ops  frameworks
  , security automation, policy-as-code, and CI/CD integration