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Brain Co.

Non-invasive BCI and EEG prosthetics

AI Infrastructure Security Engineer

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Have 5+ years of experience in security engineering, infrastructure, or Site Reliability Engineering with hands-on experience building or securing production systems at scale.
  • Be fluent in cloud security fundamentals, including identity and access management, networking, key management services, secrets, and isolation, across Amazon Web Services, Google Cloud Platform, or Azure.
  • Have designed and implemented secure systems end-to-end rather than only reviewing them after implementation.
  • Have hands-on experience with Kubernetes, container security, and Linux systems.
  • Think in terms of threat models, trust boundaries, and failure modes and translate them into concrete controls.
  • Have experience with authentication and authorization systems, secrets management, and cryptography basics.
  • Be a hands-on builder who writes code, ships infrastructure, and partners directly with infrastructure and platform engineers.
  • Thrive in ambiguous, high-agency environments and take ownership of the infrastructure security function as it grows.

Responsibilities

  • Build the security foundations of the AI platform, including identity, isolation, secrets management, and access control across cloud and Kubernetes environments.
  • Harden infrastructure end-to-end, from cloud networking and service meshes to continuous integration and continuous delivery pipelines and the data and model pipelines powering the AI capabilities.
  • Implement Zero Trust principles and machine identity across workloads, including short-lived credentials, least-privilege access, and encrypted service communication.
  • Protect customer data and agent workloads by designing secure execution environments and data access pathways for code and actions taken by agents.
  • Build security guardrails directly into infrastructure and deployment workflows using Infrastructure-as-Code with Terraform.
  • Own threat modeling across infrastructure layers by identifying and remediating risks before they become incidents.
  • Own security for forward-deployed infrastructure by designing and hardening bespoke virtual private clouds and customer-environment deployments.
  • Partner with platform, infrastructure, product, and machine learning teams to ship code and infrastructure together with secure-by-default systems.

Desired Qualifications

  • Experience with machine learning systems or multi-tenant platform isolation.
  • Familiarity with service mesh and zero-trust architectures.
  • Proficiency in Go, Python, or a similar language for automation and tooling.

About the Company

Brain Co.

Non-invasive BCI and EEG prosthetics

BrainCo develops non-invasive brain-computer interface (BCI) technology that translates EEG and muscle signals into commands for external devices. Its product line includes the BrainRobotics hand, an FDA-certified prosthetic that uses AI to decode muscle signals to control individual fingers for tasks like writing or playing piano, and EEG headbands such as FocusCalm, Eassleep, and OxyZen for education, focus, sleep, and meditation. The company combines medical devices with wellness and learning tools, delivering neurotechnology through devices that capture brain or muscle activity and turn it into actionable feedback or control signals. Its goal is to broaden access to advanced neurotech by offering capable prosthetics and BCI solutions at a more affordable price while expanding applications in health, learning, and well-being.

Company size
51-200
Company stage
Series A
Total funding
$30M
Headquarters
San Francisco, CA
Founded
2025

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