About the company
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Responsibilities
- 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.
Conditions
- Flexible Paid Time Off.
- Equity Compensation & Employee Stock Purchase Plan.
- Growth and Development Fund.
- Parental Leave.
- Base salary range for residents of the United States only: $139,200 - $196,000 USD.