Hinoki Security

Cybersecurity

SoftwareEngineer(AgentInfra)

$200–300k San Francisco, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Software Engineer (Agent Infra) at Hinoki Security. Skills: AI agents, Distributed systems, Cloud fluency. Own core platform infrastructure. Lead systems orchestrating agents”

What You'll Achieve.

Drive remediation to verified resolution; Produce fixes, not lists

Industry & Context.

Cybersecurity
Problems you'll solve

Failure handling; Troubleshooting

What They're Looking For.

Must Have

3-6 years engineering experience, AI agents in production, Distributed systems experience, Cloud fluency, AI-native workflow, High agency

Nice to Have

Production depth in AWS, Production depth in Azure, Production depth in GCP, Claude Code daily loop, Codex daily loop, Cursor daily loop

What You'll Do.

Own core platform infrastructure

Lead systems orchestrating agents

Lead data layer modeling environments

Lead verification surfaces proving work

Lead reporting surfaces translating work

How You'll Work.

Team & Collaboration

Cross-functional teams

Full Job Description

ABOUT HINOKI SECURITY AI is collapsing the cost of offense. What used to require a skilled exploit developer can increasingly be automated, and defenders are still working from tooling that was designed two decades ago: tools that produce endless lists of findings without telling anyone what actually matters or what to do about it. Hinoki is building the AI-native platform that fixes this. We continuously map an enterprise's real exposure, figure out what is genuinely dangerous in the customer's specific environment, and drive the remediation through to verified resolution. Old scanners produce lists. We produce fixes. We're backed by Andreessen Horowitz and led by a second-time security founder, most recently from Google. The platform is already in production at Fortune 500 enterprises.   THE ROLE This is a critical engineering hire with broad ownership over core platform infrastructure. Depending on your strengths, you may lead the systems that orchestrate our research agents, the data layer that models a customer's environment in real time, the verification surfaces that prove our agents' work is correct before anything reaches a customer, or the reporting surfaces where our hard-work translates to CISO-level impact. ENGINEERING CULTURE We have a high bar for taste and quality. There's too much AI slop in the world, and we would like to see less of it. Every decision the product makes has provenance: why we believe what we believe, who owns it, what evidence supports the next action. We invest heavily in the internal frameworks that let our humans, our coding agents, and our production agents work fast while minimizing mistakes. WHAT WE'RE LOOKING FOR Three to six years of engineering experience, plus: - AI agents in production. Not prototypes. Real autonomous systems with multi-step reasoning, tool use, memory, evaluation, and failure handling. - Distributed systems chops. You've shipped systems with real failure modes: leases, retries, idempotency, blast-radius

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