Staff Backend Engineer, AST: Composition Analysis
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.
What this role actually needs.
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. Responsibilities: - Implement complex features in dependency scanning and container scanning, shipping improvements that increase scan coverage, improve accuracy, and drive adoption of GitLab's SCA capabilities - Solve novel technical problems in SCA, establishing reusable patterns that reduce delivery time and improve engineering effectiveness across the team - Guide architectural and implementation decisions in collaboration with engineering managers, product managers, and peer engineers to improve scalability, reliability, and delivery outcomes across the team's SCA architecture - Contribute code, design reviews, and technical mentorship that raise quality standards, improve maintainability, and strengthen performance across the codebase - Collaborate across GitLab's security domain to align SCA work with related efforts in vulnerability management and adjacent product areas, accelerating delivery of shared roadmap goals and improving coordination across related security efforts - Identify and resolve technical debt, prioritizing changes that improve team velocity, code health, and long-term maintainability across the team's core SCA services Company context: GitLab is the all-remote DevSecOps platform spanning source code, CI/CD, security, and AI-assisted development.
Day-to-day expectations
Gitlab lists these responsibilities for the Staff Backend Engineer, AST: Composition Analysis role.
- Implement complex features in dependency scanning and container scanning, shipping improvements that increase scan coverage, improve accuracy, and drive adoption of GitLab's SCA capabilities
- Solve novel technical problems in SCA, establishing reusable patterns that reduce delivery time and improve engineering effectiveness across the team
- Guide architectural and implementation decisions in collaboration with engineering managers, product managers, and peer engineers to improve scalability, reliability, and delivery outcomes across the team's SCA architecture
- Contribute code, design reviews, and technical mentorship that raise quality standards, improve maintainability, and strengthen performance across the codebase
- Collaborate across GitLab's security domain to align SCA work with related efforts in vulnerability management and adjacent product areas, accelerating delivery of shared roadmap goals and improving coordination across related security efforts
- Identify and resolve technical debt, prioritizing changes that improve team velocity, code health, and long-term maintainability across the team's core SCA services
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Staff Backend Engineer, AST: Composition Analysis is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
Canada tech market
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Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
Because this is remote, country scope and time-zone expectations matter as much as the title. Confirm the employer's allowed work locations on job-boards.greenhouse.io.
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- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
- Lead with distributed collaboration, async delivery, and timezone discipline.
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Source: job-boards.greenhouse.io · Source ID: 8478364002 · Confidence: 90/100 · Last checked: May 7, 2026
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