Data Security Engineer (AI)

TL;DR

Data Security Engineer (AI): Securing the infrastructure that bridges large-scale gaming data, AI research, and product engineering, focusing on hardening cloud environments and protecting data pipelines. Focus on automated security guardrails, maintaining observability, and meeting compliance requirements for creator and AI training data.

Location: On-site in New York City

Salary: $150,000 – $280,000

Company

hirify.global is where millions of gamers capture, share, and relive their best moments, building the next generation of gaming communities that are social, monetized, and creator-powered.

What you will do

• Reduce the attack surface of GCP workloads, Kubernetes clusters, and on-prem systems.
• Build automated security guardrails directly into Terraform, CI/CD, and Kubernetes deployments.
• Harden ingestion and ETL systems used for video and metadata processing.
• Build visibility into privileged access and access drift across engineering.
• Develop and run drills, tabletop exercises, and incident-response workflows.
• Conduct internal red-team tests and support threat modeling with engineering.

Requirements

• Strong experience with cloud infrastructure (especially GCP), Terraform, Kubernetes, containers, and modern CI/CD processes.
• Deep security fundamentals including IAM design, network segmentation, and threat modeling.
• Hands-on experience with GCP/AWS security stacks.
• Familiarity with infrastructure observability and logging systems.
• Strong secrets management and PKI experience.
• Experience implementing or operating red-team / purple-team exercises.

Nice to have

• Security Engineer / DevOps hybrid roles at fast-growing mid-stage startups.
• SREs with a heavy security focus.
• DevOps engineers who became de-facto security leads in high-growth companies.
• Backgrounds from organizations with strong infra or security discipline.

Culture & Benefits

• Offers equity.