Security Software Engineer

Job not on LinkedIn

🕒 July 28

🇺🇸 United States – Remote

💵 $170k - $210k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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RunSybil

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

Cybersecurity • Artificial Intelligence • SaaS

RunSybil is an AI-powered offensive security platform that continuously tests applications and infrastructure for exploitable vulnerabilities by reasoning about systems the way an elite human researcher would, operating across the entire stack on every deployment. The company emphasizes automated, continuous offensive testing to find real-world exploitable issues; public materials note a $40M raise led by Khosla Ventures.

📋 Description

• Research and develop offensive agentic capabilities that become core Sybil features • Hunt for real vulnerabilities across a range of target environments and translate what you find into repeatable, automated techniques • Build and ship end-to-end customer-facing features: from research spike to production deployment • Design and implement LLM-powered tooling that extends Sybil's reach and depth across attack surfaces • Identify gaps in our offensive coverage and propose technical initiatives to close them, without waiting to be asked • Contribute to technical design discussions, review your teammates' work, and hold a high bar for what we ship • Operate with ownership: you define the problem, build the solution, and see it through

🎯 Requirements

• 4 or more years of software engineering experience, with meaningful time in offensive security contexts • Hands-on experience finding vulnerabilities across a variety of targets, whether through red teaming, bug bounty, CTF, or production pentesting • Strong Python fundamentals: you have designed, deployed, and maintained backend systems in production • Comfort with modern JavaScript and React; you can own a feature across the full stack • Experience building with LLMs or generative AI tools, including prompt engineering and integrating model outputs into real workflows • A builder's instinct: you default to figuring things out, not waiting for direction • Familiarity with DevOps and infrastructure concepts; you can own your own deployment pipeline • Strong written communication; you can explain a vulnerability, a design decision, or a tradeoff clearly.

🏖️ Benefits

• meaningful equity