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Open nowPosted 3 days ago

Data Security Engineer

Medal17 open roles

Pay
$180,000 – $300,000 a year
Where
New York City
Work mode
On site
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Your applicationOpen nowData Security EngineerMedal · New York City

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Medal's own form.

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. Medal postings stay open a median of 42 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 3 days ago

Medal median: 42 days open

The posting

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

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