Companies that use Jenkins

Source: Analysis of 100 job postings that mention Jenkins

My analysis shows that Jenkins buyers span two distinct groups. Directors of Software Engineering (23%) and DevOps/Cloud Engineering Directors (10%) make purchasing decisions, alongside VPs of Engineering and Technology (8%). These leaders prioritize modernization, with clear mandates to build scalable CI/CD pipelines, migrate legacy systems to cloud environments, and establish enterprise-wide automation standards. They're hiring for transformation initiatives that require consistent delivery practices across distributed teams.

The day-to-day users are predominantly DevOps Engineers and SREs (19%) plus Backend Engineers (13%) who implement and maintain Jenkins pipelines. These practitioners integrate Jenkins with Docker, Kubernetes, AWS/Azure services, and various testing frameworks. They automate deployment workflows, manage multi-environment releases, configure security scanning, and ensure high availability for business-critical applications. The hands-on work involves writing Groovy scripts, troubleshooting build failures, and optimizing pipeline performance.

The pain points center on scale and security. Companies describe needs to "modernize legacy infrastructure" and "build automation pipelines using Continuous Integration and Continuous Delivery tools." They seek "automation, intelligent guardrails, policy-as-code" to replace manual approvals. Financial services firms emphasize "vulnerability scanning, static code analysis" integrated directly into pipelines. A recurring theme is shifting from traditional deployments to cloud-native architectures while maintaining compliance and governance, particularly in regulated industries where "security controls and best practices throughout the CI/CD pipeline" are non-negotiable.

Source: Analysis of tech stacks from 4,272 companies that use Jenkins

I noticed that Jenkins users are running sophisticated DevOps operations with a strong emphasis on code quality, observability, and automated deployment workflows. This combination of tools tells me these are engineering-driven companies that have moved beyond basic CI/CD into mature software delivery practices. They're likely B2B software companies or enterprises with significant development teams where shipping reliable code quickly is a competitive advantage.

The pairing of Jenkins with SonarQube makes perfect sense because these companies aren't just automating deployments, they're building quality gates directly into their pipelines. SonarQube's presence at 265 times the normal rate suggests they're enforcing code standards before anything reaches production. When I see Grafana and Kibana together with Jenkins, it points to teams that need deep visibility into both their application performance and their build pipelines themselves. They're monitoring everything. The Argo CD correlation is particularly telling because it shows these companies are adopting GitOps practices, using Jenkins for CI while Argo handles the CD portion in Kubernetes environments.

The full stack reveals companies that are operationally mature and infrastructure-heavy. The high correlation with AWS Route 53 indicates they're managing complex, multi-service architectures at scale. These aren't early-stage startups experimenting with no-code tools. They're growth-stage or established companies with dedicated DevOps teams, likely 100-plus employees. They're engineering-led rather than sales-led or marketing-led, with technical buyers who make purchasing decisions based on integration capabilities and reliability.

Source: Analysis of Linkedin bios of 4,272 companies that use Jenkins

I noticed Jenkins users span a remarkably wide range of industries, but they share a common thread: they're building or operating technology-intensive systems. These aren't just software companies. I'm seeing financial services firms managing complex trading platforms, logistics companies running delivery networks, government agencies digitizing public services, healthcare providers implementing patient systems, and manufacturers coordinating supply chains. What unites them is that technology is central to their operations, whether they're "providing AI-driven solutions," running "cloud-based platforms," or managing "integrated systems."

These companies skew toward established operations rather than early-stage startups. I'm seeing mostly mid-sized companies (50-500 employees) and large enterprises with mature technology needs. The funding data is telling: many show no recent funding or are private equity backed, suggesting they're past the venture-backed growth stage. Several are government agencies or subsidiaries of larger corporations. Even the startups in this list have moved beyond MVP stage, with phrases like "serving customers across 14 countries" or "more than ,000 customers" indicating operational maturity.