Key Facts

Remote From:

Full time

Mid-level (2-5 years)

English

Hard Skills

Identity And Access Management Kubernetes Security Requirements Analysis Cloud Computing Key Management Cloud Computing Network Monitoring Scalability Auditing Construction Engineering AI/ML Inference Regulatory Compliance Application Security Incident Management Key Management Cross-Functional Collaboration

Other Skills

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Communication
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Adaptability
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Dealing With Ambiguity
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Problem Solving

Roles & Responsibilities

3+ years of experience in security, platform, or infrastructure engineering
Designed secure systems end-to-end (not just reviewed them after the fact)
Fluent in cloud security fundamentals (IAM, networking, KMS, secrets, isolation)
Hands-on experience with Kubernetes and modern cloud environments

Requirements:

Build the security foundations of our AI platform: identity, isolation, and access control
Embed security into cloud infrastructure, Kubernetes, and deployment workflows
Create paved roads and guardrails so engineers can move fast safely
Own auditability, detection, and incident readiness

Job description

About Brain Co.

At Brain Co., we build AI systems that power mission-critical workflows for some of the world’s most important institutions. Our platform operates in high-stakes, highly regulated environments where security is not an afterthought — it is a core product requirement.

As a Security Engineer at Brain Co., you will design and build the security foundations that protect AI systems deployed inside governments, energy providers, and healthcare organizations. You will work across cloud infrastructure, application layers, and compliance-driven environments to ensure our platform is secure by default, auditable, and resilient at scale.

This is a foundational role on our Platform organization. You will partner closely with Infrastructure, AI/ML, and Product Engineering to embed security into how we design, ship, and operate systems — not bolt it on afterward.

What You’ll Work On

Build the security foundations of our AI platform: identity, isolation, and access control.
Embed security into cloud infrastructure, Kubernetes, and deployment workflows.
Create paved roads and guardrails so engineers can move fast safely.
Own auditability, detection, and incident readiness.

You Might Be a Great Fit If You…

Have 3+ years of experience in security, platform, or infrastructure engineering.
Have designed secure systems end-to-end (not just reviewed them after the fact).
Are fluent in cloud security fundamentals (IAM, networking, KMS, secrets, isolation).
Have hands-on experience with Kubernetes and modern cloud environments.
Think in terms of threat models, trust boundaries, and failure modes.
Enjoy building paved roads and guardrails that help teams move fast safely.
Thrive in ambiguous, high-agency environments and want ownership of the security function as it grows.

Why Join Us

Build the security foundations of a rapidly scaling AI platform used in the world’s most critical environments.
Work alongside senior engineers from Tesla, DeepMind, Databricks, and other top engineering orgs.
Shape how security is done from the ground up
Ship fast, learn constantly, and see your work deployed in production globally.
Earn competitive compensation and meaningful equity in a high-growth company.
Grow into broader ownership as the security function scales.

Benefits