Infrastructure Security Engineer - Remote

Role Overview

Senior Infrastructure Security Engineer (Remote)

You will architect and evolve the security foundations of an AI-native organization, with an emphasis on enabling safe, fast movement rather than only reducing risk. The role sits at the intersection of systems engineering, security research, and applied automation.

What You’ll Do

• Architect security systems across AWS, GCP, and Azure that scale with rapid product iteration.
• Build automated guardrails and self-healing infrastructure to eliminate classes of vulnerabilities.
• Design and implement Zero Trust primitives (identity, access, policy as code) from first principles.
• Develop Detection-as-Code pipelines, treating detection logic like production systems (versioned, tested, deployable).
• Explore and deploy AI-native approaches to threat modeling, anomaly detection, and incident response.
• Partner with engineering and research teams to embed security into the development lifecycle.
• Ensure security decisions are clear, reviewable, and composable.
• Continuously rethink assumptions and evolve the security posture as threats and paradigms change.

What We’re Looking For

• Deep experience securing distributed, multi-cloud systems across AWS, GCP, and Azure.
• Strong programming ability (Python, Go, Rust, or similar), with a bias toward automation and systems thinking.
• Experience with Infrastructure as Code (Terraform, Pulumi, etc.) and integrating security into CI/CD pipelines.
• Strong understanding of identity systems, least privilege, and Zero Trust architectures.
• Familiarity with modern detection ecosystems (e.g., Sigma, Panther, GuardDuty, SCC) and the challenges around signal quality.
• Mindset of security as an engineering and systems problem, not compliance.
• Comfortable working in a highly asynchronous, writing-heavy, fast-paced environment.

Nice to Have

• Experience securing Kubernetes and containerized workloads at scale.
• Contributions to open-source security tools or security research.
• Experience applying or experimenting with AI/ML in security contexts.
• Strong opinions on how security should evolve in an AI-first world.