Lambda에서 IAM(Identity & Access Management) 팀을 이끌 Engineering Manager를 채용합니다. 분산 시스템 구축 및 운영 경험 9년 이상과 팀 리딩 경험 3년 이상이 필수입니다. 인증, 인가, 키 관리 서비스 전략을 수립하고 확장 가능한 보안 플랫폼을 설계합니다. 샌프란시스코 또는 산호세 사무실로 주 4일 출근이 필요합니다.
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 San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Customers trust Lambda with their infrastructure, workloads, and data. Security is foundational to earning that trust, and Identity and Access Management is at the heart of it – the control plane that determines who and what can access every Lambda resource. Enterprise and hyperscaler customers require the ability to federate their corporate identities, manage human and machine access, enforce least privilege, protect data with keys they control, and audit activity across their environments.
We are looking for an Engineering Manager to lead the Identity and Access Management team and define how identity, authentication, authorization, and key-management services are built and scaled across Lambda Cloud. This team owns the foundational identity and authorization services on the critical path for every Lambda product – spanning APIs, Console, Kubernetes products, and cloud services – including identity federation, SSO, SCIM, users and groups, service and workload identities, RBAC, resource hierarchy, policy enforcement, and audit integration.
This is a technically engaged leadership role. You will own execution, team health, and organizational direction working with technical leadership on architecture, strategy and design decisions for services that must be highly available, low latency and resilient.
You will also drive alignment across Security, Product, Compliance, and customer-facing teams to build durable platform capabilities that are adopted consistently across Lambda’s services.
This role is ideal for an engineering leader who has built security-critical distributed systems and wants to shape the identity and access foundation of a fast-growing cloud platform.
Build, lead, and grow the IAM engineering team. Hire exceptional engineers, develop technical leaders, and create a culture of ownership and high engineering standards.
Work closely with the IAM technical leaders to define and deliver the long-term technical and architectural strategy for Lambda’s IAM platform.
Build secure, scalable identity capabilities for people, services, and workloads from federation and SSO to service and workload identity.
Evolve the authorization platform – RBAC, policy evaluation, and resource hierarchy with least privilege and auditability as defaults.
Make IAM easy to adopt across every Lambda service through consistent APIs, resource and action models, and integration standards.
Build and own Lambda’s Key Management Service, including customer-managed keys, HSM-backed protection, key lifecycle controls, and integration across compute, storage, and networking.
Own the reliability, security, performance, and operations of mission-critical IAM services including observability, safe rollouts, incident response, and disaster recovery.
Translate enterprise requirements into durable platform capabilities, and communicate strategy, delivery, risk, and operational health clearly to senior leadership.
Balance the complexity and flexibility required for enterprise-grade IAM with simple, intuitive experiences for customers with varying levels of identity and access expertise.
Have 9+ years of professional software engineering experience, including 3+ years leading and developing engineering teams in a fast-paced environment.
Have built and operated large-scale distributed systems with high availability, security, and reliability requirements.
Bring strong technical judgment across cloud infrastructure and IAM — authentication, authorization, workload identity, privileged access, and policy enforcement.
Can engage deeply in architecture, pressure-test designs, and guide tradeoffs across security, correctness, scale, performance, and operability.
Have a strong track record of building high-performing teams and developing engineers and technical leaders through periods of growth and change.
Have driven cross-functional platform or security initiatives and influenced teams and leaders without direct authority.
Can turn ambiguous infrastructure problems into clear strategy, pragmatic execution, and broadly adopted platform capabilities.
Communicate clearly with technical and non-technical stakeholders and set a high bar for engineering quality, operational discipline, and ownership.
Hold a BS, MS, or PhD in Computer Science or a related technical field, or have equivalent practical experience.
Experience with public-cloud or multi-tenant IAM, authorization/policy engines, or security token services.
Experience with KMS, HSMs, customer-managed keys, secrets management, or encryption platforms.
Experience supporting enterprise or regulated customers, or building foundational platforms in a high-growth environment.
Experience supporting compliance programs such as SOC 2 or translating compliance requirements into platform capabilities.
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.
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: https://lambda.ai/careers
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
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.
