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, who have built 12M+ applications on Emergent. We're backed by Creaegis, Claypond, Sentinel Global, 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.
Responsibilities
~1 min readSecure 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 infrastructure across IAM, VPCs, secrets, and workloads
- →Design zero-trust systems across services
- →Build secure service-to-service communication
Runtime Security and Detection
- →Build detection systems for abnormal execution patterns, malicious workloads, and 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
- 6 to 12 years in Cloud or Infrastructure Security
- Deep experience with AWS/GCP, Kubernetes, containers, and IAM and secrets management
- Strong understanding of container security, network security, and runtime protection
- Experience with sandboxed execution environments, serverless or ephemeral compute, and high-scale multi-tenant systems
- You think like: "What happens when millions of unknown programs run on my infra?"
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- March 27, 2026
- First seen
- March 27, 2026
- Last seen
- September 3, 2026
Posting Health
- Days active
- 159
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- September 3, 2026
Signal breakdown
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