Companies that use Gitlab

Source: Analysis of 100 job postings that mention Gitlab

I noticed that GitLab buyers are predominantly technical leaders in engineering and platform operations, with 17% Director of Software Engineering roles, 16% DevOps Engineer positions, 14% Backend Engineers, and 10% VP of Engineering titles. These leaders are driving platform engineering transformations, standardizing CI/CD practices, and modernizing infrastructure across hybrid cloud environments. Their strategic priorities center on developer productivity, reducing time to market, and implementing automated security compliance, particularly for organizations serving government contracts requiring FedRAMP High and DoD IL5 certifications.

Day-to-day GitLab users span the entire software delivery lifecycle. Platform engineers build golden paths and service scaffolds, backend developers manage code quality through automated reviews, and SRE teams orchestrate deployment pipelines using GitOps methodologies with ArgoCD and Kubernetes. Teams leverage GitLab for container orchestration, automated testing frameworks, Infrastructure as Code deployments, and comprehensive observability integrations with Prometheus and Grafana.

The postings reveal companies struggling with fragmented tooling and seeking consolidation. One organization aims to provide engineers who can ship reliable software quickly through golden paths and standardized CI/CD. Another emphasizes reducing client-impacting defects and improving production performance. A third focuses on accelerating secure commerce experiences while reducing time-to-market and operational costs. These goals consistently point to GitLab being purchased to unify DevSecOps workflows, eliminate tool sprawl, and enable faster, more secure software delivery at enterprise scale.

Source: Analysis of Linkedin bios of 11,201 companies that use Gitlab

I noticed that GitLab users span an incredibly diverse range of industries, but they share a common thread: they're building or managing complex technical systems. These aren't just software companies. I see medical device manufacturers developing brain imaging systems, agricultural tech firms creating soil analysis platforms, defense contractors engineering electronic warfare systems, and fintech startups automating financial services. What unites them is that software and digital infrastructure are core to their operations, whether they're shipping code or physical products.

These companies fall across the maturity spectrum, though I see a concentration in the growth phase. There are pre-seed and seed stage startups with funding ranging from $36K to $7.8M, but also established firms with 200-500 employees that have been operating for decades. Many sit in that middle zone: 11-50 or 51-200 employees, no recent funding rounds listed, but clearly past the earliest startup phase. They're building real products with paying customers, not just prototypes.

Source: Analysis of tech stacks from 11,201 companies that use Gitlab

I noticed that GitLab users operate highly technical, engineering-first organizations with sophisticated DevOps practices. The extreme correlation with monitoring tools like Grafana and Zabbix, combined with quality assurance platforms like SonarQube, tells me these companies prioritize reliability, observability, and code quality at scale. They're building complex infrastructure and need to maintain it meticulously.

The pairing of GitLab with Jenkins is particularly revealing. Even though GitLab has built-in CI/CD, these companies still use Jenkins at nearly 88 times the normal rate, suggesting they're managing complex, multi-stage deployment pipelines that evolved over time. The strong correlation with SonarQube shows they've institutionalized code review and security scanning into their development workflow. Meanwhile, Netbox appearing 134 times more often indicates these teams are managing significant physical or cloud infrastructure that requires careful documentation and IP address management. The presence of N8N, a workflow automation tool, suggests they're also automating internal processes beyond just code deployment.

My analysis shows these are mature engineering organizations, likely at growth or enterprise stage rather than early startup. They're almost certainly product-led companies where engineering excellence is a competitive advantage. The emphasis on monitoring, infrastructure management, and automation suggests they're running production systems at scale with serious uptime requirements. These aren't companies building simple web apps but rather ones operating complex distributed systems or providing infrastructure to other businesses.