Data Security Engineer

Job details

Work model

On-site

Salary

$180K - $300K

Location

New York City

Company website

support.medal.tv

Hiring context

How this role compares at General Intuition & Medal

General Intuition & Medal has 13 live roles in MeritLog’s catalog across 5 job families, and 3 of them are in data & analytics. 13 of those listings publish a pay range, a disclosure rate of 100%.

This role's posted range of $180K - $300K sits above 82% of the 11 other General Intuition & Medal roles quoted over the same currency and period.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job description

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