AI Security Engineer - Infrastructure Cloud
Quick Summary
Emergent builds autonomous coding agents that replace traditional software development by generating, testing, and deploying production applications directly from plain-language intent. Our systems run in production at global scale and are used to build millions of real applications.
Secure the AI-native stack end to end: design, implement, and continuously improve security controls across AI agent pipelines, multi-tenant cloud infrastructure, APIs, and user-generated application environments Lead threat modelling and attack…
8 to 12 years of hands-on security engineering experience in a fast-moving product or cloud environment Strong application security foundation, able to read code (Python, JS/TS, SQL), identify vulnerabilities (OWASP Top 10, injection, auth flaws),…
Emergent builds autonomous coding agents that replace traditional software development by generating, testing, and deploying production applications directly from plain-language intent. Our systems run in production at global scale and are used to build millions of real applications.
Since our public launch, we've crossed $100M in ARR and grown to over 10M users across 190+ countries. We're backed by Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator.
We're solving the hard part of AI-driven software creation: correctness, reliability, security, and scale in real production systems. The team is built by repeat founders, Olympiad medalists, IIT & IIM alumni, and leaders from Google, Amazon, and Dropbox.
We're hiring builders who want ownership, speed, and impact at global scale.
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.
Responsibilities
~1 min read- Design sandboxing strategies for untrusted code execution
- Prevent container escapes, privilege escalation, and lateral movement
- Build isolation at compute, network, and storage layers
- Harden AWS/GCP infra (IAM, VPCs, secrets, workloads)
- Design zero-trust systems across services
- Build secure service-to-service communication
- Build detection systems for:
- abnormal execution patterns
- malicious workloads
- data exfiltration attempts
- Integrate logging, SIEM, and real-time alerting
- Protect build systems and deployment pipelines
- Prevent supply chain attacks in AI-generated code
- Ensure integrity of artifacts
- 6–12 years in Cloud / Infrastructure Security
- Deep experience in:
- AWS/GCP
- Kubernetes, containers
- IAM & secrets management
- Strong understanding of:
- container security
- network security
- runtime protection
- 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?”
- 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
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- March 27, 2026
- First seen
- March 27, 2026
- Last seen
- August 12, 2026
Posting Health
- Days active
- 137
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- August 12, 2026
Signal breakdown
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