Data Security Engineer

Join our team as a Data Security Engineer, where you will play a crucial role in securing the infrastructure that connects our AI research with our creator platform. You will be responsible for hardening our cloud environments, protecting our data pipelines, and ensuring the safety of our deployment systems from supply-chain attacks and other threats. Your work will directly reduce operational risk across both General Intuition and Medal.

• Harden cloud environments, protect data pipelines, and ensure deployment systems are safe from threats.
• Design secure-by-default foundations, blending off-the-shelf security tooling with custom guardrails.
• Run the op-sec program, including threat modeling, red-team and tabletop drills, incident response, and external pen-tests.
• 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 keep us compliant across creator data and AI training data
• You run the op-sec program - threat modeling, red-team and tabletop drills, incident response, and external pen-tests
• 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 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