Data Security Engineer

General Intuition & Medal • New York, NY

15d • $180,000 - $300,000

About The Position

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.

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.

Requirements

• Hardens 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.
• Protects 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.
• Owns identity, access, and secrets - privileged-access visibility, key rotation, least-privilege baselines, workload identity, and PKI (cloud-native KMS / Secret Manager).
• Secures the software supply chain - scanned builds and dependencies, artifact provenance, hardened GitHub Actions runners.
• Runs the op-sec program - threat modeling, red-team and tabletop drills, incident response, and external pen-tests.
• Keeps us compliant across creator data and AI training data.

Responsibilities

• 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.
• 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.
• Own identity, access, and secrets - privileged-access visibility, key rotation, least-privilege baselines, workload identity, and PKI (cloud-native KMS / Secret Manager).
• Secure the software supply chain - scanned builds and dependencies, artifact provenance, hardened GitHub Actions runners.
• Run the op-sec program - threat modeling, red-team and tabletop drills, incident response, and external pen-tests.
• Keep us compliant across creator data and AI training data.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed