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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Infrastructure Security Engineer - **Company:** Brain Corporation - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Kubernetes Security, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Computing Security, Customer Data Management, Data Security, Linux, Identity and Access Management, Python (Programming Language), Key Management, Zero Trust Network Access, AI Infrastructure, Istio, Delivery Pipeline, AI Platforms, Kubernetes, Machine Learning Operations, Software Coding, Terraform - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=74af76e7d2ace899 ## About the Role * 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 paved roads and guardrails using Infrastructure-as-Code (Terraform preferred) so the whole team moves faster safely. * Have experience with authentication and authorization systems, secrets management, and cryptography basics. * Are a hands-on builder who is energized by writing code, shipping infrastructure, and partnering directly with infra and platform engineers rather than advising from the sidelines. * Thrive in ambiguous, high-agency environments and want ownership of the infrastructure security function as it grows. Bonus Points For: * Experience with ML systems or multi-tenant platform isolation. * Familiarity with service mesh and zero-trust architectures. * Proficiency in Go, Python, or a similar language for automation and tooling. ## Description 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., * 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. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Rate-limiting using eBPF and Istio: How to protect your SaaS customers from themselves](https://www.wearedevelopers.com/videos/100220-rate-limiting-using-ebpf-and-istio-how-to-protect-your-saas-customers-from-themselves) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Navigating the AI Wave in DevOps](https://www.wearedevelopers.com/videos/853-navigating-the-ai-wave-in-devops) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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