Data Security Engineer

Medal; New York (NY); On-site; USD 140,000 - 180,000; Full time

Job summary

Medal seeks a security-focused infrastructure engineer to harden cloud environments, protect data pipelines, and ensure secure deployments for our creator platform. You will integrate security into Terraform, CI/CD, and Kubernetes workflows while maintaining fast, research-friendly operations.

The role emphasizes threat modeling, incident response, and compliance across AI training data and creator data across both General Intuition and Medal ecosystems.

Qualifications

• Experience hardening cloud environments (GCP/AWS) with workload isolation and network segmentation.
• Strong knowledge of IAM discipline, least-privilege, key rotation, and secret management.
• Experience securing software supply chains, artifact provenance, and hardened runners.

Responsibilities

• Harden cloud environments and deployment systems against threats.
• Protect data pipelines with encryption, isolation, and full logging/observability.
• Own identity, access, and secrets management and PKI.
• Secure the software supply chain with scanned builds and provenance.

Skills

Kubernetes security

Cloud security

IAM Secrets

CI/CD security

GitHub Actions

Secure-by-default

Tools

Terraform

GitHub Actions

Cloud IAM

KMS / Secret Manager

OpenTelemetry

Job description

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 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