Senior Security Engineer, AI & Data Platform
About General Intuition
At General Intuition, we're building the future of real-world intelligence. As a frontier research lab, we're pioneering large action models that empower AI to perceive, predict, and act seamlessly across both virtual and physical environments. Backed by $320M in recent funding at a $2.3B valuation from visionary investors like Khosla Ventures, General Catalyst, Eric Schmidt, and Jeff Bezos, we're on a mission to discover the next generation of intelligent systems. Our groundbreaking AI models are fueled by an unparalleled dataset from Medal, the world's largest platform for gaming clips, capturing millions of moments that form the bedrock of our understanding.
The Mission
As a Senior Security Engineer, you'll be the guardian of the critical infrastructure that powers our groundbreaking AI research and links it to Medal's massive creator platform. This is a high-impact role where you will not only harden our expansive cloud environments and secure our vital data pipelines but also fortify our deployment systems against sophisticated supply-chain attacks and emerging threats.
Your mission is to architect secure-by-default foundations that champion speed and innovation for our research and product teams, deftly combining cutting-edge security tooling with bespoke guardrails. This role directly mitigates operational risk, ensuring the integrity and resilience of both General Intuition and Medal's operations.
What You'll Own & Achieve
Master Google Cloud Platform (or equivalent AWS expertise), Kubernetes, and container security, implementing robust workload isolation, network segmentation, and stringent IAM discipline. You'll embed secure-by-default guardrails directly into our Terraform, CI/CD pipelines, and deployment strategies.
Fortify our extensive data pipelines, ensuring end-to-end encryption and isolation for video/metadata ETL. You'll establish comprehensive logging and observability (Cloud Logging, SIEM, OpenTelemetry, Honeycomb) to provide unparalleled insight into the movement and utilization of our critical AI training data.
Champion identity, access, and secrets management, from privileged-access visibility and key rotation to establishing least-privilege baselines, implementing robust workload identity, and managing PKI (leveraging cloud-native KMS / Secret Manager).
Strengthen our software supply chain, ensuring scanned builds and dependencies, rigorous artifact provenance, and hardened GitHub Actions runners.
Lead and execute our operational security program, including proactive threat modeling, engaging in red-team and tabletop drills, spearheading incident response, and managing external penetration tests.
Ensure unwavering compliance across both creator data and sensitive AI training datasets.
Our Cutting-Edge 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, Honeycom