Threat Research Engineer, Security

GitLab

. Research new attack surfaces and threat vectors, including AI coding agents, agent plugins, and package ecosystems .

Posted 11/11/2026full-timeRemote • Poland, Israel, United KingdomMid-LevelSenior💰 PLN 272,000 - PLN 408,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in security research, vulnerability analysis, and AI integration within software development. Proficient in building and maintaining cloud-based systems while employing strong programming skills and software engineering practices.

Highest-signal resume keywords

Hands-On Security ExperienceProgramming Skills in Go or PythonExperience with AI and Large Language Model APIsCloud Deployment and Production ServicesUnderstanding of Software Supply Chain Attacks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Malware AnalysisPenetration TestingSecurity ToolingSoftware Engineering PracticesContinuous Integration and Continuous DeliveryTesting and Code ReviewVulnerability DisclosureData-Driven Decision MakingAttack Vector MappingStatic Application Security Testing

Soft Skills

Clear WritingPresentation Skills

Tools & Technologies

Google Cloud PlatformTerraformOpenTofuLangChainLangGraphAgent SDKs

Industry Keywords

Software Supply ChainAI Coding AgentsAgent PluginsPackage EcosystemsVulnerability AdvisoriesMalware AdvisoriesOperational Support

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformOpen SourcePythonTerraformGo

About the role

Key responsibilities & impact

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 cloud-based systems behind detection and advisory work
Improve the quality and coverage of vulnerability and malware advisories
Write findings as blog posts and present them at conferences
Participate in on-call or operational support where required
Take ideas from the first question to a working proof of concept, deploy it, and analyze the results

Requirements

What you’ll need

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
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 package ecosystems and software supply chain attacks
Ability to map possible attack vectors, name trade-offs, and make data-driven decisions
Clear writing that explains findings to both engineers and a general audience
Helpful, but not required: published vulnerability findings; security research on AI agents, large language model applications, or Model Context Protocol (MCP) servers; Google Cloud Platform experience; or infrastructure as code experience with Terraform or OpenTofu
High-level understanding of compilers or static application security testing engines is sufficient

Benefits

Comp & perks

Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave