Intermediate Backend Engineer - Code Security

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. Intermediate Backend Engineer, Security Factory: Code Security An overview of this role As an Intermediate Backend Engineer on GitLab's Security Factory: Code Security team, you'll help developers find and fix security issues in the code they write and the open source components they depend on. Your work connects dependency analysis, vulnerability detection, and automated remediation. You'll build parsing that tells the security analysis engine which libraries and frameworks a project uses, extend a service that turns security advisories into dependency update merge requests, and develop hybrid analyzers that combine rule-based detection with artificial intelligence (AI) reasoning. You'll help evaluate how well those analyzers find real vulnerabilities and expand coverage of libraries, frameworks, and AI agent tooling. We use AI-assisted development tools in our daily work and expect you to use them effectively and with good judgment. What you’ll do • Develop secure, well-tested, performant parsing for dependency manifests, lockfiles, and software bills of materials (SBOMs). Extend support for new package ecosystems and formats in the analysis engine and remediation service. • Build and apply analyzers that combine deterministic analysis with AI-driven analysis, working with the team's technical leadership. Review their results and measure false positives and missed findings against benchmark applications with known vulnerabilities. • Create detection rules mapped to Common Weakness Enumeration (CWE) and the test fixtures that prove they work. • Contribute to packaging analyzers for continuous integration (CI) jobs, AI agent workflows, and command-line tools, reporting findings in GitLab's standard security report formats. • Extend the automated remediation service, from running dependency updates in a sandbox to opening merge requests. • Solve technical problems of moderate scope and complexity. Identify technical debt that slows the team down, and propose and implement improvements. • Write maintainable code that meets our internal standards, and help maintain those standards through code review. • Participate in on-call rotations to troubleshoot product operations, security operations, and urgent engineering issues. What you’ll bring • Experience using AI or large language model (LLM) tools to generate or evaluate technical content, with the judgment to know when output is trust