Emergent LabsStaff Engineer - Security
Emergent Labs is hiring a Staff Engineer - Security in Bengaluru, India. Level rates it ; you can apply on Emergent Labs.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include AWS, Google Cloud and Kubernetes.
- Level classifies it as a senior role.
- Level lists 52 other open roles at Emergent Labs.
AI in this role
Secure the infrastructure, runtime environments, and agent pipelines powering autonomous software creation at Emergent.
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.
We’re looking for a Staff Security Engineer to own security across the full stack—from AI-generated applications and agent pipelines to cloud infrastructure and runtime environments.
You’ll:
- Secure AI-generated code, applications, and agent pipelines
- Design secure multi-tenant cloud & runtime environments
- Lead threat modeling, detection, and defense across application and infrastructure layers
- Build security controls for AWS/GCP, Kubernetes, containers, IAM, APIs, and CI/CD
- Defend against prompt injection, container escapes, privilege escalation, and data exfiltration
- Build scalable security frameworks and partner closely with engineering and product teams
What We’re Looking For
- 8–15+ years of security engineering experience
- Strong expertise across Application/Product Security + Cloud/Infrastructure Security
- Hands-on experience with AWS/GCP, Kubernetes, containers, IAM, APIs, and threat modeling
- Strong coding skills in Python, JavaScript/TypeScript, or backend systems
- Experience securing untrusted/user-generated code and multi-tenant systems
- Strong systems thinking and ability to drive security from architecture to implementation
Bonus: Experience with AI/LLM security, agentic systems, prompt injection, sandboxing, or large-scale execution environments.
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:
- Daily Meals: Lunch and Dinner provided
- Family Insurance: 5 Lakhs worth of coverage for you and your family
- Unlimited Paid Time Off: Take the time you need to recharge and come back refreshed
- Flexible Working Hours: Work arrangements that fit your life and commitments
Let's build the future of software together.
How we rate this
Staff Engineer - Security at Emergent Labs rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where application security was part of your work. What did you do?
- Tell me about a project where cloud security was part of your work. What did you do?
- Tell me about a project where threat modeling was part of your work. What did you do?
- Tell me about a project where ai security was part of your work. What did you do?
- Walk me through how you've used AWS in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Application Security, Cloud Security, Threat Modeling, AI Security, and AWS. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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