Modal
Infrastructure Security Engineer
New York
Sponsorship not specifiedDetected 92 days ago
Distributed SystemsAWSGCPCloud PlatformsKubernetesCybersecurityValuationAuditingSystems EngineeringCommunication
About the role
- This is a hands-on, deeply technical role focused on real systems, not compliance or policy.
Responsibilities
- Design and improve isolation mechanisms for multi-tenant workloads (containers, sandboxing, execution environments)
- Design and improve authentication and authorization systems across services
- Implement strong service-to-service identity and least-privilege access patterns
- Build and maintain systems for securely managing secrets, tokens, and credentials
Requirements
- Experience securing cloud-native infrastructure and distributed systems in production
- 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
- Experience with secrets management and secure handling of credentials
Nice to have
- 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
Company info
- AI needs a new infrastructure layer. We're building it at Modal.
- 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 https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, 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 https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.
- AI needs a new infrastructure layer.
- We're building it at Modal.
- 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 https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, 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 https://modal.com/blog/modal-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 https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
This listing is sourced directly from Modal's careers page and normalized into a canonical job model.