---
title: "Staff Engineer - Security"
company: "Emergent Labs "
company_url: "https://www.remjobs.works/companies/emergent-labs"
url: "https://www.remjobs.works/job/emergent-labs-staff-engineer-security-6e7ab77a-4462-4cac-9d12-f1a9e80fa4a9"
apply_url: "https://job-boards.greenhouse.io/emergentlabsinc/jobs/4403175009"
workplace: onsite
location: "Bangalore"
employment_type: unspecified
seniority: staff
role: devops-infrastructure
region: india
skills: ["aws", "gcp", "javascript", "kubernetes", "llm", "python", "typescript"]
date_posted: 2026-09-18T11:07:46.000Z
first_seen_by_remjobs: 2026-09-18T11:37:55.475Z
---

# Staff Engineer - Security

**Emergent Labs ** · Bangalore

Apply: https://job-boards.greenhouse.io/emergentlabsinc/jobs/4403175009

## About the role

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 **$130M 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.

**The Role:**
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:**

#### The Role

At Emergent, security goes beyond securing traditional applications and infrastructure. We are building AI systems that generate and execute software at massive scale.

As a **Staff Security Engineer**, you will own security across the full stack — from **AI-generated applications and agent pipelines to the cloud infrastructure and runtime environments where that code executes**.

You will work across Application Security, Product Security, Cloud Security, Infrastructure Security, and Runtime Defense to build systems that are secure by design and resilient at scale.

#### What You’ll Do

##### Secure AI-Generated Applications

- Define security patterns and guardrails for applications generated by AI agents.

- Build secure-by-default frameworks across authentication, authorization, data access, APIs, and business logic.

- Identify and prevent vulnerabilities in dynamically generated applications.

- Build validation layers for AI-generated code, including static and semantic validation.

- Detect prompt injection, adversarial inputs, and other AI-specific attack patterns.

##### Secure Cloud & Runtime Infrastructure

- Design secure, multi-tenant environments for executing untrusted, AI-generated code.

- Build isolation across compute, network, and storage layers.

- Prevent container escapes, privilege escalation, lateral movement, and other runtime attacks.

- Harden AWS/GCP infrastructure across IAM, VPCs, secrets, workloads, and service-to-service communication.

- Design and implement zero-trust security architectures.

##### Own End-to-End Threat Modeling

- Threat model systems spanning AI agents, generated applications, APIs, cloud infrastructure, and runtime environments.

- Identify systemic security risks across multi-tenant and agent-driven architectures.

- Develop reusable threat models and security patterns for AI-native systems.

- Assess attack paths across both application and infrastructure layers.

##### Build Security Detection & Defense

- Build detection capabilities for abnormal execution, malicious workloads, and data-exfiltration attempts.

- Design logging, SIEM, monitoring, and real-time alerting systems.

- Develop security controls that detect and prevent attacks across application and infrastructure layers.

- Red-team AI-generated applications and execution environments to identify systemic weaknesses.

##### Secure CI/CD & Agent Pipelines

- Secure build and deployment pipelines used by AI agents.

- Prevent software supply-chain attacks and insecure code propagation.

- Ensure artifact integrity throughout the development and deployment lifecycle.

- Feed security learnings back into AI generation and engineering systems.

##### Build Security Engineering Primitives

- Design authentication and authorization frameworks.

- Build secure SDKs, APIs, gateways, rate limiting, and input/output validation layers.

- Develop reusable security tooling and frameworks that engineering teams can adopt at scale.

- Work closely with engineering and product teams to make security part of system design rather than a post-development review.

#### What We’re Looking For

- 8–15+ years of security engineering experience, with strong hands-on experience across both Application/Product Security and Cloud/Infrastructure Security.

- Strong coding and automation skills in Python, JavaScript/TypeScript, or backend systems.

- Deep understanding of application security fundamentals, including:

- OWASP Top 10

- Authentication & authorization

- API security

- Injection vulnerabilities

- Secure software development

- Threat modeling

- Strong cloud and infrastructure security experience across:

- AWS/GCP

- Kubernetes and containers

- IAM and secrets management

- Network security

- Container security

- Runtime protection

- Multi-tenant environments

- Experience designing and securing systems that execute untrusted or user-generated code.

- Ability to work across application, infrastructure, and platform layers rather than operating within a single security domain.

- Experience partnering closely with engineering and product teams and driving security initiatives from architecture through implementation.

#### What Sets You Apart

- Experience securing AI/LLM or agentic systems.

- Experience with prompt injection, output validation, and AI-specific threat models.

- Experience with sandboxed or ephemeral execution environments.

- Experience securing high-scale, multi-tenant platforms.

- Experience building security systems rather than only identifying vulnerabilities.

- Strong systems thinking — you understand how an application vulnerability can become an infrastructure or runtime risk, and vice versa.

- Experience building scalable security solutions for environments where millions of applications or workloads may be generated and executed dynamically.

#### Why Emergent

- Build security for AI systems that build software.

- Solve security problems spanning application, cloud, infrastructure, and AI systems.

- Operate at global scale across millions of applications and users.

- Work directly with founders and core engineering teams.

- Solve security challenges that are emerging with autonomous software creation.

**Benefits and Perks:**

1. Daily Meals: Lunch and Dinner provided

2. Family Insurance: 5 Lakhs worth of coverage for you and your family

3. Unlimited Paid Time Off: Take the time you need to recharge and come back refreshed

4. Flexible Working Hours: Work arrangements that fit your life and commitments

Let's build the future of software together.

---

Source: Emergent Labs 's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/emergent-labs-staff-engineer-security-6e7ab77a-4462-4cac-9d12-f1a9e80fa4a9