Data Security Engineer

Posted 9 Days Ago
New York City, NY, USA
In-Office
180K-300K Annually
Entry level
Artificial Intelligence • Machine Learning • Robotics • Generative AI
The Role
Secure cloud infrastructure, Kubernetes, containers, data pipelines, identity systems, secrets, CI/CD workflows, and software supply chains. Implement Terraform guardrails, encryption, network segmentation, IAM controls, observability, threat modeling, incident response, red-team exercises, tabletop drills, penetration testing, and compliance controls for creator and AI training data.
Summary Generated by Built In
About The Company

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've raised over $650M from Khosla, GC, Valor, and Point72 since October 2025, and recently closed our latest round at a $6.2B valuation.

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

  • Experience hardening GCP or AWS environments, Kubernetes, and containers, including workload isolation, network segmentation, IAM, Terraform, CI/CD, and deployment guardrails.
  • Experience securing data pipelines through encryption, isolation, logging, observability, and SIEM integration.
  • Experience managing identity, access, secrets, key rotation, least-privilege controls, workload identity, KMS, Secret Manager, and PKI.
  • Experience securing software supply chains, including build and dependency scanning, artifact provenance, and hardened GitHub Actions runners.
  • Experience with threat modeling, red-team exercises, tabletop drills, incident response, and external penetration testing.
  • Experience maintaining compliance for creator data and AI training data.
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The Company
HQ: Naarden
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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