Modal은 AI 인프라를 재정의하는 기업으로, Infrastructure Security Engineer를 채용합니다. 클라우드 네이티브 환경에서 컨테이너 격리, IAM, 비밀 관리 시스템을 설계하고 구축하는 핵심 역할을 수행합니다. 분산 시스템 및 멀티 테넌트 환경 보안 경험이 필수이며, 실무 중심의 엔지니어링 역량을 갖춘 분을 찾습니다.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Lovable, Ramp, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.
Our team includes creators of popular open-source projects (e.g.,Seaborn,Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
We’re looking for an Infrastructure Security Engineer to design and secure the core systems that power our platform. This role focuses on building security directly into our infrastructure—from container isolation and orchestration to identity and secrets management in a multi-tenant, cloud-native environment.
You’ll work closely with engineering teams to define secure primitives and ensure our platform is resilient, scalable, and trustworthy by design.
This is a hands-on, deeply technical role focused on real systems, not compliance or policy.
Design and improve isolation mechanisms for multi-tenant workloads (containers, sandboxing, execution environments)
Strengthen boundaries between customers, workloads, and internal systems
Identify and mitigate risks in distributed, dynamic compute environments
Secure and harden containerized workloads and orchestration systems (e.g., Kubernetes or similar)
Improve workload isolation, scheduling boundaries, and runtime protections
Evaluate tradeoffs in multi-tenant execution models
Design and improve authentication and authorization systems across services
Implement strong service-to-service identity and least-privilege access patterns
Improve access controls across infrastructure and internal systems
Build and maintain systems for securely managing secrets, tokens, and credentials
Improve rotation, auditing, and access controls
Reduce secret sprawl and integrate secure patterns into developer workflows
Secure cloud environments across providers (AWS, GCP, etc.) with a focus on consistency and portability
Improve network boundaries, service segmentation, and access controls
Embed security into infrastructure-as-code and deployment systems
Work closely with product and infrastructure teams to design secure systems from the ground up
Review architecture and code for security risks and provide actionable guidance
Identify patterns in risks and drive cross-cutting improvements
Experience securing cloud-native infrastructure and distributed systems in production
Background in infrastructure, backend, or security engineering
Experience working in multi-tenant or high-scale environments
Strong understanding of containerization and orchestration systems (e.g., Kubernetes or similar)
Experience designing or securing isolation mechanisms in multi-tenant systems
Solid understanding of authentication, authorization, and service identity models
Experience with secrets management and secure handling of credentials
Strong foundation in networking concepts (segmentation, service communication, access boundaries)
Builder mentality, you design and implement, not just review
Pragmatic approach to security in fast-moving environments
Comfortable working deeply with engineers and influencing system design
Experience with sandboxing or runtime isolation technologies (e.g., gVisor, Firecracker, seccomp, or similar)
Familiarity with kernel-level or low-level isolation primitives
Experience securing Kubernetes or similar orchestration systems in production
Background in developer infrastructure, compute platforms, or multi-tenant systems
