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AI Infrastructure Security Engineer

Brainco
CompanyBrainco
CategoryEngineering
LocationSan Francisco
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted22 Sept 2025
Last verified3 Aug 2026
SourceEmployer ATS (ashby)
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Description
ABOUT BRAIN CO. Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy. We are building AI applications for the world’s most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries. Our progress so far: - Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in value - Optimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in losses - Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work Company momentum: - Raised a $55M Series A from leading investors - Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments, healthcare systems, and critical industries to modernize how essential services operate. We are looking for leaders who want to help bring new technology into institutions that impact millions of people. ABOUT THE ROLE: As our Security Engineer, Infrastructure, you'll secure the platform layer end-to-end including cloud infrastructure, Kubernetes, identity, networking, and the systems that AI runs on. This is a hands-on builder role. You'll write code, ship infrastructure, and work shoulder-to-shoulder with our infra team as a true engineering partner, not a reviewer. It's a high-ownership role for someone who wants to build secure-by-default infrastructure from first principles, and grow the function as the company scales. You'll also be thinking a step ahead about security in an AI-native environment, where agents write code and operate inside developer and production workflows, while staying grounded in the core work of cloud, Kubernetes, identity, and networking. WHAT YOU’LL WORK ON: - Build the security foundations of our AI platform: identity, isolation, secrets management, and access control across cloud and Kubernetes environments. - Harden infrastructure end-to-end from cloud networking and service meshes to CI/CD pipelines and the data and model pipelines powering Brain Co's AI capabilities work. - Implement Zero Trust principles and machine identity across workloads; short-lived credentials, least-privilege access, and encrypted service communication. - Protect customer data and the agent workloads running on our platform. Design secure execution environments and data access pathways for code and actions taken by agents on our systems. - Build security guardrails directly into infrastructure and deployment workflows using Infrastructure-as-Code (Terraform) so security scales with the platform. - Own threat modeling across infrastructure layers—identifying and remediating risks before they become incidents. - Own security for Brain Co's forward-deployed infrastructure — designing and hardening bespoke VPCs and customer-environment deployments where every engagement brings its own unique attack surface. - Partner with platform, infra, product, and ML teams to ship code and infrastructure together as a true partner so engineers move fast with secure-by-default systems. YOU MIGHT BE A GREAT FIT IF YOU: - Have 5+ years of experience in security engineering, infrastructure, or SRE with hands-on experience building or securing production systems at scale. - Are fluent in cloud security fundamentals (IAM, networking, KMS, secrets, isolation) across AWS, GCP, or Azure. - Have designed and implemented secure systems end-to-end not just reviewed them after the fact. - Have hands-on experience with Kubernetes, container security, and Linux systems. - Think in terms of threat models, trust boundaries, and failure modes and can translate that into concrete controls. - Enjoy building pa
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