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Threat Research Engineer, Security Factory: Threat Research

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NieokreśloneZdalnieFull-time

#478732·Dodano 2 dni temu·6

Źródło: GitLab

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Tech Stack / Keywords

Go Python LangChain LangGraphModel Context Protocol (MCP)Google Cloud Platform TerraformOpenTofuGitLab

Podsumowanie oferty

As a Threat Research Engineer in GitLab’s Threat Research group, you’ll research emerging threats and turn findings into protection for GitLab customers, including the GitLab Advisory Database that powers dependency scanning. You’ll build AI-powered research, analysis, and detection workflows and cloud-based systems, taking ideas from initial investigation through proof of concept and deployment.

Wymagania

Hands-on security experience in research, malware analysis, penetration testing, or security tooling, with both a developer mindset and an adversarial mindset.
Demonstrated experience using AI in real work, such as building with large language model APIs or agent frameworks like LangChain, LangGraph, or agent SDKs.
Strong programming skills in Go or Python, with good software engineering practices including testing, code review, continuous integration and continuous delivery, and maintainable code.
Experience deploying and running production services on a public cloud.
Understanding of how package ecosystems work and how software supply chain attacks happen.
Ability to map possible attack vectors, name trade-offs, and make data-driven decisions while keeping up with security and AI industry trends.
Clear writing that explains findings to both engineers and a general audience.
Deep knowledge of compilers or static application security testing engines is not required; a high-level understanding is enough.

Nice to have:

Published vulnerability findings.
Security research on AI agents, large language model applications, or Model Context Protocol (MCP) servers.
Google Cloud Platform experience.
Infrastructure as code experience with Terraform or OpenTofu.

Obowiązki

Research new attack surfaces and threat vectors, including AI coding agents, agent plugins, and package ecosystems.
Find and responsibly disclose vulnerabilities in open source projects and developer tools.
Analyze software supply chain incidents and events.
Build AI-powered workflows and agents that automate research, analysis, and detection.
Build and maintain the cloud-based systems behind detection and advisory work.
Improve the quality and coverage of vulnerability and malware advisories.
Write up findings as blog posts and present them at conferences.
Take part in on-call or operational support where the team’s ownership model requires it.

Benefity

Flexible Paid Time Off.
Equity compensation and an Employee Stock Purchase Plan.
Growth and Development Fund.
Parental Leave.

Płatny urlop

Udziały pracownicze

Dofinansowanie szkoleń

Inne informacje

Participate in on-call or operational support where the team’s ownership model requires it.

GitLab

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