Staff Security Architect
Lambda· Data Center Business
Hybrid (Bellevue Office), Hybrid (San Jose Office (First St)), Hybrid (San Francisco Office (Fremont St))$349k - $465kFull-timePosted 1w ago
About the role
Senior security architect role focused on data protection and platform security for Lambda's AI infrastructure, reporting to the CISO and shaping secure-by-default patterns across multi-cloud, hardware, and software platforms.
Responsibilities
- 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
- 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
- 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 highlighting Lambda's platform security and data protection posture
- Mentor senior engineering talent across the organization on secure design principles, platform security patterns, and threat modeling
Qualifications
- 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
Skills
Required:Data protection architectureThreat modelingPrototyping security designs
Benefits
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
Last updated Oct 15, 2026. Interested? Apply on the company site.
About Lambda
The Superintelligence Cloud
The gigawatt-scale AI GPU Cloud built for superintelligence. Featuring on-demand & reserved cloud NVIDIA HGX B200, B300, GB200, GB300 and H200 GPUs for AI training & inference.
AI trainingDeep learningGPU CloudInferenceNVIDIA GPUsliquid-ai-recruiting-targetsetter-30setter-30-2026-q1
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