Senior Platform Security Engineer – AI Infra & Tenancy

Google; New York (NY); Hybrid; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google DeepMind is seeking a Senior Security Engineer to secure its core serving infrastructure and platform layer. You will design and enforce multi-tenant data protections, workload isolation, and secure-by-default deployment patterns for advanced AI serving.

Applicants should have deep security operations experience, strong C/C++ coding skills, and a track record securing large-scale frontier AI systems. The role offers on-site and hybrid arrangements across U.S. locations.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5+ years in security engineering, platform security, infrastructure hardening, network protocols, or systems security architecture.
• 5+ years in security operations (monitoring, incident response, vulnerability triage, on-call, threat hunting).
• 5+ years of coding in C/C++ or similar languages.

Responsibilities

• Evaluate and harden GDM’s core serving infrastructure (Beyond, Agency, AI Studio APIs) and inference pipelines.
• Develop and maintain threat models covering GDM serving layers and inference workloads.
• Build secure-by-default libraries, reference architectures, and deployment templates that embed infrastructure security into deployment pipelines.
• Participate in the team's operational security rotation (on-call).

Skills

Security engineering

Platform security

Infrastructure hardening

Incident response

Threat modeling

C/C++ programming

Education

Bachelor's degree in CS / cybersecurity / electrical-computer engineering

Job description

Google DeepMind is seeking a Senior Security Engineer to secure its core serving infrastructure and platform layer. You will design and enforce multi-tenant data protections, workload isolation, and secure-by-default deployment patterns for advanced AI serving.

Applicants should have deep security operations experience, strong C/C++ coding skills, and a track record securing large-scale frontier AI systems. The role offers on-site and hybrid arrangements across U.S. locations.