Software Engineering Manager, Application Security Testing: Composition Analysis & Dynamic Analysis

Remote, Canada; Remote, Israel; Remote, Netherlands; Remote, United Kingdom; Remote, USRemotePosted February 5, 2026

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GitLabAgileDevOpsAPI

Job Description

GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what's possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC.

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.

An overview of this role

As an Engineering Manager for Composition Analysis and Dynamic Analysis, you’ll lead multiple teams building the application security scanning capabilities that help GitLab customers find and fix vulnerabilities in their software supply chain and web applications. You’ll guide engineers working on software composition analysis, container scanning, API security, dynamic application security testing, and fuzz testing, and you’ll be responsible for setting priorities, shaping product architecture, and running agile processes across these groups so that our security offerings stay effective, reliable, and easy to use in real DevSecOps environments.

You’ll balance complex, security-focused roadmaps, author project plans that span both groups, and coordinate their work so that customers get a cohesive, end-to-end application security experience within GitLab. In your first year, you’ll drive key initiatives like auto-remediation of vulnerable packages, scanning unmanaged C/C++ dependencies, static reachability analysis at the function level, snippet detection for open source dependencies, and significant improvements to the DAST crawler’s efficiency and stability.

Some examples of our projects:

Designing auto-remediation workflows for vulnerable open source and third-party dependencies
Improving the DAST crawler to provide more consistent and reliable coverage of modern web applications

What you’ll do

Lead engineers across the Composition Analysis and Dynamic Analysis groups, setting clear priorities and expectations.
Drive key security initiatives, including auto-remediation of vulnerable software packages, scanning unmanaged C/C++ dependencies, static reachability analysis, and snippet detection for open source dependencies.
Improve Dynamic Analysis Security Testing (DAST) capabilities by enhancing the crawler for efficiency, stability, and consistent web application traversal.
Balance priorities and resources across multiple security-focused engineering teams to ensure sustainable delivery and high-quality outcomes.
Author and maintain project plans for epics spanning both groups, aligning work, identifying dependencies, and avoiding duplication of effort.
Run agile project management processes for multiple teams, including planning, estimation, and continuous improvement of delivery practices.
Provide guidance on the architecture of security products, ensuring that software composition analysis and dynamic analysis solutions are robust and scalable.
Collaborate closely with Composition Analysis and Dynamic Analysis te

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