Emergent runs a
massive, multi-tenant, AI-driven execution environment
where code is generated and executed continuously.
You will secure the
infrastructure that powers autonomous software creation
.
What You’ll Do
Secure multi-tenant execution environments
- Design sandboxing strategies for untrusted code execution
- Prevent container escapes, privilege escalation, and lateral movement
- Build isolation at compute, network, and storage layers
Own cloud security architecture
- Harden AWS/GCP infra (IAM, VPCs, secrets, workloads)
- Design zero-trust systems across services
- Build secure service-to-service communication
Runtime security & detection
- Build detection systems for:
- abnormal execution patterns
- malicious workloads
- data exfiltration attempts
- Integrate logging, SIEM, and real-time alerting
Secure CI/CD and agent pipelines
- Protect build systems and deployment pipelines
- Prevent supply chain attacks in AI-generated code
- Ensure integrity of artifacts
What We’re Looking For
- 6–12 years in
Cloud / Infrastructure Security
- Deep experience in:
- AWS/GCP
- Kubernetes, containers
- IAM & secrets management
- Robust understanding of:
- container security
- network security
- runtime protection
What Sets You Apart
- Experience with:
- sandboxed execution environments
- serverless or ephemeral compute
- high-scale multi-tenant systems
- You think like:
- “What happens when millions of unknown programs run on my infra?”
Why Emergent
- Build security for
AI systems that build software
- Operate at
global scale (millions of apps, millions of users)
- Work directly with founders and core engineering
- Solve problems that don’t exist anywhere else yet