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Splendare

Infrastructure Security Engineer

Modal Labs · New York, NY

Full-time$150k–$270k/yr
Raised $602M in Oct 2026Posted Apr 21, 2026
Apply now ↗

Design and secure the core infrastructure behind a multi-tenant AI compute platform, building security into container isolation, orchestration, identity and secrets management. Work hands-on with product and infrastructure engineers to define secure primitives and review architecture and code for risks.

What you'll do

  • Design and improve isolation for multi-tenant workloads and sandboxes
  • Harden containerized workloads and orchestration systems like Kubernetes
  • Build authentication, authorization and service-to-service identity systems
  • Build and maintain secrets, token and credential management systems
  • Secure cloud environments and embed security into infrastructure-as-code

Requirements

  • Experience securing cloud-native infrastructure and distributed systems in production
  • Background in infrastructure, backend, or security engineering
  • Experience in multi-tenant or high-scale environments
  • Strong understanding of containerization and orchestration systems
  • 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 credential handling
  • Strong foundation in networking concepts

Nice to have

  • Experience with sandboxing or runtime isolation technologies (gVisor, Firecracker, seccomp)
  • 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

Skills

AWSAuthentication and AuthorizationContainerizationDistributed SystemsFirecrackerGoogle CloudInfrastructure as CodeKubernetesNetworkingSecrets ManagementgVisorseccomp

Outlined skills are listed as required.

Full original description

About Us:
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 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've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.


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.

The Role:

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.

What You’ll Work On:

Platform & Runtime Security

  • 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

Container & Orchestration Security

  • 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

Identity & Access Management

  • 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

Secrets & Key Management

  • 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

Cloud & Infrastructure Security

  • 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

Engineering Partnership

  • 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

You May Be a Fit If:

Core Experience

  • You have experience securing cloud-native infrastructure and distributed systems in production

  • You have a background in infrastructure, backend, or security engineering

  • You’ve worked in multi-tenant or high-scale environments

Technical Depth

  • You have a strong understanding of containerization and orchestration systems (e.g., Kubernetes or similar)

  • You’ve designed or secured isolation mechanisms in multi-tenant systems

  • You have a solid understanding of authentication, authorization, and service identity models

  • You have experience with secrets management and secure handling of credentials

  • You have a strong foundation in networking concepts (segmentation, service communication, access boundaries)

Mindset

  • You have a builder mentality: you design and implement, not just review

  • You take a pragmatic approach to security in fast-moving environments

  • You’re comfortable working deeply with engineers and influencing system design

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

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