Required Skills:
- Security governance.
- Zero trust.
- Detection as code (dac).
- Iam engineering.
- Ai-enabled defense.
Job Description:
Job Title: Sr. Infrastructure Security Engineer.
Job Type: Full-Time.
Location: Remote.
About Us:
micro1 is the end-to-end human data infrastructure behind AGI. Our AI recruiter model is used by frontier AI labs and Fortune 10s to source, vet, and deploy PhDs and professors from the world’s top universities at scale. These experts are placed directly into the training loops of the most advanced AI systems, powering the breakthroughs that move models forward. Our data platform converts their expertise into high-signal training datasets, and our talent management tooling measures, routes, and improves performance at scale.
The Role:
We are looking for an infrastructure security engineer who thinks like a builder, not an auditor. You will design and evolve the security foundations of a fast-moving, AI-native organization—where the goal is not just to reduce risk, but to enable us to move faster safely.
This role sits at the intersection of systems engineering, security research, and applied automation.
What You Will Do:
- Architect security systems across AWS, GCP, and Azure that scale with rapid product iteration.
- Build automated guardrails and self-healing infrastructure to eliminate entire classes of vulnerabilities.
- Design and implement Zero Trust primitives—identity, access, and 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 closely with engineering and research teams to embed security into the development lifecycle.
- Write clearly and think clearly—security decisions should be legible, reviewable, and composable.
- Continuously rethink assumptions and evolve our security posture as new threats and paradigms emerge.
What We Are Looking For:
- Deep experience securing distributed, multi-cloud systems (AWS, GCP, 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 signal quality challenges.
- A mindset that treats security as an engineering and systems problem—not compliance.
- Comfort working in a highly asynchronous, writing-heavy, and fast-paced environment.
Nice to Have:
- Experience securing Kubernetes and containerized workloads at scale.
- Contributions to open-source security tools or research.
- Experience applying or experimenting with AI/ML in security contexts.
- Strong opinions about how security should evolve in an AI-first world.
