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HomeJobsSenior Software Security Engineer

GitLab

Senior Software Security Engineer

full timeseniorRemoteRemote4 weeks ago
32,000-50,000 AED/mo
Engineering & Technology

Job Description

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. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role You will engineer security improvements to the GitLab product as well as building and maintaining the tools we use to detect and prevent abuse on our SaaS platforms. A strong software engineering background with experience in large Ruby/Rails codebases is required. As a senior engineer on the Trust and Safety team, you will predictively identify abuse patterns and trends and build anomaly detection and prevention systems to mitigate abusive users and their activities. This role is an ideal fit for candidates with software engineering backgrounds interested in moving into security engineering. Formal security engineering experience is not a hard requirement for this role. Find out more about the Trust and Safety team and responsibilities here: - Trust and Safety What you’ll do - 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 What you’ll bring - 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. About the team Trust and Safety is a global team tasked with keeping abusive behaviors off of GitLab.com. The team relies on automations, LLM aided anomaly detections, and user behavior analysis to proactively detect and prevent abuse on the Gitlab platform. The Trust and Safety team closely collaborates with peer teams within Security Operations, including Security Incident Response, Signals Engineering, Threat Intelligence, and the Red Team. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles ar

Requirements

Strong software development skills with experience in Ruby/Rails. Experience working on distributed applications with large codebases and deployed in cloud environments (preferred). Strong experience with cloud native development (Google Cloud Platform and/or AWS). Interest in thinking like a hacker and defending against attacks with an automation-first mindset. Comfortable working in an all-remote environment. Interest in handling trust and safety security incidents and collaborating with engineering to harden platform defenses to combat abuse campaigns. Experience on an AI-native development team maintaining teams of agents and acting as a code reviewer.

Responsibilities

  • - Maintain core abuse prevention systems and build new abuse detection rules to identify and prevent evolving platform abuse (spam, AI/token, SEO optimization/redirects, financially motivated abuse campaigns).
  • - Become a core maintainer for our in-house abuse platform (Ruby on Rails monolith) and support/build 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.

Skills Required

RubyRuby on Railsdistributed systemscloud environmentsGoogle Cloud PlatformGCPAWScloud native developmentAI-native developmentagent-based AIcode reviewsecurity engineeringautomationsecurity incident handlingplatform hardening

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