Job description

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. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our Bellevue, San Francisco, or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. About the Role Lambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence. Reporting to the CISO, you'll be a principal technical leader responsible for shaping Lambda's overall security architecture, with a primary focus on Data Protection and Platform Security. Your work will define secure-by-default foundational patterns across our 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 our 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. Leveraging Lambda's hosted LLMs, you'll pioneer AI-driven security architecture capabilities—such as automated threat modeling, sensitive data discovery, and platform policy verification. If you're excited about setting the architectural vision for data protection and platform security in the world's most demanding AI infrastructure, we want to talk. We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for a Staff Security Architect role. Your application is not a waste of our time. What You’ll Do Data Protection Architecture: - 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 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 platform 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, automated 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 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 What We Think a Candidate Needs to Demonstrate to Succeed - 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 our direct access to state-of-the-art LLMs to revolutionize enterprise security—imagine AI-assisted access reviews, automated SaaS risk assessments, and 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, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda - Founded in 2012, with 500+ employees, and growing fast - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG - Our values are publicly available: lambda.ai - We offer generous cash & equity compensation - 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 Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Requirements

Must-haves

If you'd like to build the world's best AI cloud, join us.
Note: This position requires presence in our Bellevue, San Francisco, or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
If you're excited about setting the architectural vision for data protection and platform security in the world's most demanding AI infrastructure, we want to talk.
What You’ll Do
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
What We Think a Candidate Needs to Demonstrate to Succeed

Nice-to-haves

Excitement about leveraging our direct access to state-of-the-art LLMs to revolutionize enterprise security—imagine AI-assisted access reviews, automated SaaS risk assessments, and 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, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

airestkubernetespythongomachine learning

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Paid Time Off

Wellness