Security Engineer
Core
Design, implement, and operate security controls across AI infrastructure, AI platforms, and internal systems to ensure confidentiality, integrity, and availability of data, models, and services.
Role type
Security Engineer (AI Infrastructure & Cloud-Native)
Builds
Security-focused software and platform capabilities, integrated security monitoring systems, and in-house security tooling.
Domain
AI Infrastructure, Cloud-Native Security, Multi-Cloud
Deliverable
production ML models | infrastructure
Required skills
Python, Go, Cloud-native architecture (GCP), Kubernetes internals, Linux system administration, CI/CD security integration, Identity and Access Management (IAM), Vulnerability management, Detection engineering, Compliance controls implementation
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, Service mesh security, Security automation platforms, SBOM generation
Technologies
Python, Go, GCP, Kubernetes, Docker, GitHub Actions, Harness, CircleCI, Terraform, Linux, SAML, OAuth, OIDC, SOC 2, ISO 27001, ISO 42001, HIPAA, PCI-DSS, GDPR