Data Security Engineer

Posted 12 Days Ago
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New York City, NY, USA
In-Office
180K-300K Annually
Senior level
Artificial Intelligence • Machine Learning • Robotics • Generative AI
The Role
Secure cloud infrastructure and data pipelines for AI research and creator platform. Harden GCP/Kubernetes/containers, enforce IAM and secrets management, protect software supply chain, run op-sec program (threat modeling, red teams, IR), and ensure compliance for creator and training data.
Summary Generated by Built In
About General Intuition

General Intuition is the frontier lab for acting in space and time. We build large action models and world models that can perceive, predict, and act across virtual and physical environments. General Intuition builds on the strength of Medal, the world's largest and fastest-growing platform for gaming clips, where millions of gamers capture, share, and discover new games every year. We recently raised $320M at a $2.3B valuation led by Khosla Ventures with participation from General Catalyst, Eric Schmidt, and Jeff Bezos, to discover the next generation of real-world intelligence.

The Role

This role secures the infrastructure bridging GI's AI research and Medal's creator platform. You will harden our cloud environments, protect our data pipelines, and ensure our deployment systems are safe from supply-chain attacks and other threats.

You'll design secure-by-default foundations without slowing down research or product teams, blending off-the-shelf security tooling with custom guardrails where necessary. Your work directly reduces operational risk across both General Intuition and Medal.

What We're Looking For
  • You harden GCP (AWS equivalents fine), Kubernetes, and containers from the inside out - workload isolation, network segmentation, IAM discipline, and secure-by-default guardrails baked into Terraform, CI/CD, and deployments.

  • You protect the data pipelines - encrypting and isolating the video/metadata ETL, with full logging and observability (Cloud Logging, SIEM, OpenTelemetry, Honeycomb) into how AI training data moves and is used.

  • You own identity, access, and secrets - privileged-access visibility, key rotation, least-privilege baselines, workload identity, and PKI (cloud-native KMS / Secret Manager).

  • You secure the software supply chain - scanned builds and dependencies, artifact provenance, hardened GitHub Actions runners.

  • You run the op-sec program - threat modeling, red-team and tabletop drills, incident response, and external pen-tests.

  • You keep us compliant across creator data and AI training data.

Our Stack

Cloud: GCP (GKE, Cloud Run, Cloud SQL, GCS, Pub/Sub, BigQuery), Cloudflare + Akamai edge · IaC & CI/CD: Terraform, GitHub Actions · Identity & secrets: Cloud IAM, workload identity, KMS / Secret Manager · Observability: Cloud Logging, SIEM, OpenTelemetry, Honeycomb

Skills Required

  • Harden GCP and AWS cloud environments including GKE, Cloud Run, Cloud SQL, GCS, Pub/Sub, BigQuery
  • Secure Kubernetes and containers: workload isolation, network segmentation, and secure deployments
  • Implement IAM discipline and workload identity, least-privilege baselines
  • Build secure-by-default guardrails into Terraform, CI/CD, and deployments (GitHub Actions)
  • Protect data pipelines: encrypting and isolating ETL, full logging and observability (Cloud Logging, SIEM, OpenTelemetry, Honeycomb)
  • Manage identity, access, and secrets: privileged-access visibility, key rotation, KMS / Secret Manager, PKI
  • Secure software supply chain: scanned builds/dependencies, artifact provenance, hardened GitHub Actions runners
  • Run operational security program: threat modeling, red-team/tabletop drills, incident response, external penetration tests
  • Ensure compliance for creator data and AI training data
Am I A Good Fit?
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The Company
41 Employees
Year Founded: 2025

What We Do

General Intuition is an AI research lab and public-benefit corporation building frontier and world models that help machines predict and act in dynamic environments. Using billions of action-labelled gameplay clips from its sister company Medal, the lab trains systems on physics, human decision-making, and consequences. Its mission extends to agentic models, robotics, and AI agents inhabiting real and imaginary worlds.

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