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Описание вакансии
Текст:
TL;DR
Staff Security Architect (AI): Defining data protection and platform security architecture for Lambda's AI cloud infrastructure with an accent on encryption, key management, confidential computing, tenant isolation, and multi-tenant GPU platforms. Focus on designing zero-trust controls, threat models, secure Kubernetes and bare-metal architectures, and AI-powered security automation.
Location: Hybrid, with presence in the Bellevue, San Francisco, or San Jose office 4 days per week; Tuesday is the designated work-from-home day.
Salary: $314,000–$419,000 annually in Bellevue; $349,000–$465,000 annually in San Francisco or San Jose.
Company
Lambda provides AI cloud infrastructure for researchers, enterprises, and hyperscalers, with a focus on making high-performance computing broadly accessible.
What you will do
- Define end-to-end data protection architecture covering classification, encryption, KMS/HSM, DLP, privacy controls, and AI model weights.
- Secure data lifecycles for training datasets, checkpoints, and model artifacts across cloud and on-premises storage.
- Design confidential computing, envelope encryption, zero-trust access, and fine-grained authorization controls.
- Harden multi-tenant GPU infrastructure, bare-metal clusters, hypervisors, Kubernetes platforms, and control planes.
- Develop security prototypes and reference implementations in Python or Go, including AI-assisted threat modeling, policy validation, and data discovery.
- Partner with engineering, product, infrastructure, legal, and HR leaders while mentoring senior engineers and authoring security architecture documentation.
Requirements
- 10+ years of engineering experience, including 5+ years in security architecture, platform security, or data protection at cloud or infrastructure scale.
- Deep knowledge of encryption, cryptographic protocols, KMS/HSM, DLP, and confidential computing.
- Experience designing multi-tenant security architectures across GPU clusters, bare-metal infrastructure, hypervisors, KVM, Kubernetes, and public cloud.
- Strong prototyping skills in Python, Go, or similar languages.
- Experience with STRIDE, PASTA, threat modeling, security design reviews, and high-consequence systems.
- Strong communication and stakeholder-management skills, including collaboration with IT, Legal, and HR.
Nice to have
- Experience building enterprise security or IAM programs at high-growth technology companies or cloud providers.
- Familiarity with SOC 2, ISO 27001, FedRAMP, HIPAA, PCI-DSS, or related compliance frameworks.
- Experience implementing Terraform for enterprise identity and SaaS configuration management.
- Experience with security tooling build-versus-buy decisions and compliance audit preparation.
- Experience using LLMs for access reviews, SaaS risk assessments, policy generation, or other security automation.
Culture & Benefits
- Fast-moving, high-growth startup environment focused on building scalable security foundations.
- Cash and equity compensation.
- Health, dental, and vision coverage for employees and dependents.
- Wellness and commuter stipends for select roles.
- 401(k) plan with a 2% company match for USA employees and flexible paid time off.
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