Sr. Infrastructure Security Engineer
Core team
$250K - $350K/yr compensation
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
The Role
We’re looking for an infrastructure security engineer who thinks like a builder, not an auditor. You’ll design and evolve the security foundations of a fast-moving, AI-native organization—where the goal isn’t 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’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 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’re 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.
About micro1
micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.
Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI.