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Lambda is a leader in AI cloud infrastructure serving tens of thousands of customers, from AI researchers to enterprises and hyperscalers. The company's mission is to make compute as ubiquitous as electricity and give everyone access to superintelligence.
Reporting to the CISO, you will serve as a principal technical leader responsible for shaping Lambda's overall security architecture, with primary focus on Data Protection and Platform Security. Your work will define secure-by-default foundational patterns across Lambda's core AI infrastructure, hardware/GPU platform layers, multi-cloud control planes, and end-to-end data lifecycles.
You will directly impact the security posture of Lambda's high-performance computing environment by architecting robust data loss prevention (DLP), encryption at rest and in transit, key management (KMS/HSM), confidential computing, and tenant isolation models. You'll pioneer AI-driven security architecture capabilities—such as automated threat modeling, sensitive data discovery, and platform policy verification—leveraging Lambda's hosted LLMs.
Key responsibilities include:
**Data Protection Architecture:** Design and standardize end-to-end data protection strategy encompassing data classification, cryptographic key management, 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. Establish zero-trust data access policies and fine-grained authorization frameworks for sensitive platform APIs and data repositories.
**Platform Security & Infrastructure Hardening:** 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. Conduct comprehensive threat models, architectural reviews, and risk assessments for core platform services and control planes.
**Automation & Strategic Innovation:** 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, policy validation, and data discovery. Assess third-party vendor risks and build automated tooling to evaluate SaaS vendor security postures.
**Strategic Leadership & Alignment:** Partner closely with Platform, Engineering, Product, and Infrastructure leaders to embed security architecture into long-term product roadmaps. Author technical whitepapers, architectural blueprints, and customer-facing trust documentation. Mentor senior engineering talent across the organization on secure design principles, platform security patterns, and threat modeling.
This position requires presence in the Bellevue, San Francisco, or San Jose office 4 days per week; Tuesday is Lambda's designated work-from-home day.
**Requirements:**
- 10+ years of total engineering experience with 5+ years specializing in security architecture, platform security, or data protection at cloud/infrastructure scale
- Deep expertise in data security concepts including encryption key management (KMS/HSM), cryptographic protocols, DLP, and confidential computing primitives
- Proven track record of designing multi-tenant platform security architecture across heterogeneous infrastructure (bare-metal GPU clusters, hypervisors, KVM, Kubernetes, and public cloud)
- Strong technical skills in prototyping security designs and reference code in Python, Go, or similar languages
- Demonstrated experience with threat modeling methodologies (STRIDE, PASTA, etc.) and security design reviews for high-consequence systems
- Strong communication and stakeholder management skills, with a track record of partnering effectively with IT, Legal, and HR
- Ability to balance robust enterprise security controls with employee experience and productivity
- Thrives in fast-moving, high-growth startup environments where building scalable structure is required
**Nice to Have:**
- Excitement about leveraging state-of-the-art LLMs to revolutionize enterprise security (AI-assisted access reviews, automated SaaS risk assessments, intelligent policy generation)
- Experience building enterprise security and IAM programs at high-growth tech companies or cloud providers
- Familiarity with compliance frameworks (SOC 2, ISO 27001, FedRAMP, HIPAA) and audit preparation
- Experience implementing Infrastructure as Code (Terraform) for managing enterprise identity and SaaS configurations
- Deep technical background allowing hands-on contribution when needed
- Experience with both build and buy decisions for security tooling
- Experience driving or providing significant evidence for compliance audits (SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, FedRAMP)
