Security Engineer
Core
Designing, implementing, and operating security controls across AI infrastructure, AI platforms, and internal systems to ensure confidentiality, integrity, and availability of data, models, and infrastructure.
Role type
Security Engineer (AI Infrastructure)
Builds
Security-focused software and platform capabilities, integrated continuous security monitoring systems, in-house security tooling, and vulnerability management programs.
Domain
Generative AI infrastructure, Cloud-native systems, Multi-cloud environments
Deliverable
production ML models | infrastructure
Required skills
Python, Go, Cloud-native architecture (GCP), Kubernetes internals, Linux system administration, CI/CD pipeline security, Identity and access management (IAM)
Preferred skills
Zero-trust architecture design, Large-scale Kubernetes platform security, Multi-cloud platform security (AWS, Azure, Oracle), Infrastructure-as-code (Terraform), Data protection techniques (encryption, tokenization), LLM/ML platform security, Detection engineering pipelines, Software supply chain security
Technologies
Kubernetes, Docker, GCP, AWS, Azure, Oracle Cloud, GitHub Actions, Harness, CircleCI, Terraform, Python, Go, SAML, OAuth, OIDC, SSO, RBAC/ABAC
Responsibilities
Design and build security-focused software and platform capabilities; Perform security reviews of cloud-native architectures; Embed security into CI/CD pipelines; Build and operate a comprehensive vulnerability management program; Operate and continuously improve security operations; Participate in red/blue team exercises; Embed compliance and regulatory controls into infrastructure and product layers.
Seniority
Mid-Senior, hands-on IC