Companies that use Kubernetes

Source: Analysis of 100 job postings that mention Kubernetes

I noticed that Kubernetes purchasing decisions are concentrated among engineering leadership, with Directors of Software Engineering and Vice Presidents of Engineering each representing 11% of postings, followed by Directors of DevOps at 9%. These leaders are focused on platform modernization and cloud transformation. They're hiring for capabilities around container orchestration, microservices architecture, and multi-cloud strategies, indicating they view Kubernetes as foundational infrastructure for enterprise digital transformation.

The hands-on users are a diverse group spanning DevOps engineers, site reliability engineers, platform engineers, and full-stack developers. These practitioners work with Kubernetes daily to deploy containerized applications, manage CI/CD pipelines, ensure high availability, and maintain observability across distributed systems. Individual contributor roles emphasize skills in Docker, Helm, Jenkins, Terraform, and cloud platforms like AWS and Azure, showing that Kubernetes sits at the center of modern development workflows.

The core pain points revolve around scalability, reliability, and modernization. Companies want to "deliver world-class customer experiences faster, easier, and more efficiently" and build "scalable, reliable, maintainable, high-performing" systems. Many are "migrating from on-premises to cloud-native architectures" and need to "ensure 99.999%+ uptime" for mission-critical services. The emphasis on "automation," "infrastructure as code," and "observability" reveals organizations struggling to manage complexity at scale while maintaining security and compliance across hybrid environments.

Source: Analysis of tech stacks from 1,518 companies that use Kubernetes

I analyzed the tech stack correlations and found that Kubernetes users are typically high-growth technology companies with sophisticated cloud infrastructure needs and strong product-led growth motions. The presence of tools like Auth0, Argo CD, and Docker Hub tells me these are developer-centric organizations building complex applications at scale, while HubSpot Marketing Hub and StatusPage indicate they're also focused on customer acquisition and retention through modern SaaS playbooks.

The pairing of Kubernetes with Argo CD makes perfect sense because companies running containerized infrastructure need automated deployment pipelines. These teams are practicing GitOps and continuous delivery, which means they're shipping code frequently and need reliability. The strong correlation with Auth0 suggests these companies are building multi-tenant applications where authentication is critical infrastructure, not just a feature. They're choosing to outsource security rather than build it themselves, which is typical of teams focused on their core product. The StatusPage correlation is particularly telling because it shows these companies have enough customers that uptime communication has become a business priority.

My analysis reveals these are primarily product-led growth companies in expansion mode. They have the technical sophistication to manage Kubernetes but also invest heavily in marketing automation through HubSpot. This combination suggests they've found product-market fit and are scaling both their infrastructure and their go-to-market efforts simultaneously. They're likely Series B or later, with engineering teams large enough to justify complex orchestration but still nimble enough to adopt modern DevOps practices.

Source: Analysis of Linkedin bios of 1,518 companies that use Kubernetes

I noticed that Kubernetes users span an enormous range, but they share a common trait: they're building complex digital products that need to scale. These aren't simple websites. They're companies running SaaS platforms (Tonkean's process orchestration, Hostfully's property management), fintech infrastructure (Bluebulb's cross-border payments, LINA's Open Finance integration), AI and machine learning products (Arcee AI's language models, Terra Security's agentic penetration testing), and real-time data systems (NetSpring's analytics, Health Gorilla's health data exchange). Many are two-sided marketplaces or platforms connecting multiple parties.

The stage distribution surprised me. While there are Series A and B companies with significant funding (Enter with $35M, Tonkean with $50M, Provable with $200M), I also found many smaller teams under 50 employees, including pre-seed startups and bootstrapped companies. The larger enterprises (OTTO with 6,000 employees, Doctoralia Brasil with 700+) appear to be mature digital-first businesses. The common thread isn't size but technical ambition.