The opportunity
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers.
What you'll do
Architect, design, and standardize end-to-end data protection strategy,: encompassing data classification, cryptographic key management (KMS/HSM), data loss prevention (DLP), and privacy-preserving controls across customer data and AI model weights
Define data lifecycle security controls for training datasets, checkpoint: storage, and model artifacts across cloud and on-premises storage layers
Drive confidential computing architectures, envelope encryption, and: hardware-backed data security guarantees for high-consequence customer workloads
Establish robust zero-trust data access policies and fine-grained: authorization frameworks for sensitive platform APIs and data repositories
Design and enforce core platform security architectures across multi-tenant: GPU infrastructure, bare-metal clusters, hypervisors, and container orchestration platforms (Kubernetes)
Define strong tenant isolation, sandboxing, and secure virtualization: controls to protect against cross-tenant side-channel and platform escape vulnerabilities
What they're looking for
- Conduct comprehensive threat models, architectural reviews, and risk: assessments for core platform services and platform control planes
- Prototype reference implementations and security controls in Python or Go to: demonstrate secure platform integration patterns
- Pioneer AI-powered architectural security capabilities leveraging Lambda's: hosted LLMs for automated threat modeling, automated policy validation, and data discovery
- Assess third-party vendor risks and build automated tooling to evaluate SaaS vendor security postures
