Senior Software Security Engineer

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GitLab

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Secondary Market on 2020-11

Artificial Intelligence • Enterprise • SaaS

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• Maintain core abuse prevention systems and build new abuse detection rules to identify and prevent evolving platform abuse such as spam, AI/token, SEO optimization/redirects and other financially motivated abuse campaigns. • Become a core maintainer for our in-house abuse platform (Ruby on Rails monolith) and be comfortable supporting and building new features for the platform. • Improve and expand agentic AI capabilities in our abuse mitigation tools, including improving multi agent reasoning decision patterns with a target to reduce HITL operational load. • Lead collaboration with peer engineering teams to deliver safety improvements for the GitLab product • Resolve automation gaps and create efficient, automated processes • Create and maintain documentation such as runbooks and procedures

🎯 Requirements

• Strong software development skills with experience in Ruby/Rails • Experience working on distributed applications with large codebases and deployed in cloud environments strongly preferred • Passion/desire to proactivity develop security engineering skills • Comfortable working in an all remote environment where results and impact matter above hours worked • Strong experience with cloud native development (Google Cloud Platform (GCP) and/or AWS) • Interest in “thinking like a hacker” and defending against attacks with an “automation first” mindset • Interest in handling trust and safety security incidents and collaborating with engineering to harden platform defenses to combat abuse campaigns • Experience working on an AI native development team maintaining teams of agents and acting as a code reviewer and experience abstracting your role away from writing code for most cases.

🏖️ Benefits

• 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