Companies that use Spacelift

Source: Analysis of 100 job postings that mention Spacelift

My analysis shows that Spacelift is primarily purchased by engineering leadership, with Directors of Engineering, VPs of Infrastructure, and Platform Engineering leaders making up about 7% of hiring roles. These leaders are focused on strategic priorities like modernizing infrastructure, enabling developer self-service, and scaling cloud operations efficiently. The buying decision centers on creating standardized, secure infrastructure platforms that can support rapid growth while maintaining compliance and cost controls.

The day-to-day users are overwhelmingly DevOps Engineers and SREs (50% of roles), along with Platform Engineers (12%) and Cloud Engineers (9%). These practitioners use Spacelift to manage Infrastructure as Code workflows, particularly with Terraform, across AWS, Azure, and GCP environments. They're deploying and managing Kubernetes clusters, implementing CI/CD pipelines, and building self-service platforms that enable development teams to provision infrastructure autonomously. The tool appears central to their GitOps workflows and policy enforcement strategies.

The pain points reveal a clear pattern around scaling challenges and operational complexity. Companies describe needing to "eliminate entire classes of problems" and build "automation that streamlines operations, reduces manual work, and ensures efficient, secure, and resilient database systems." Multiple postings emphasize "Infrastructure as Code" approaches and creating platforms that are "reliable, scalable, and cost-effective." The recurring theme is organizations moving from manual, fragmented processes to automated, standardized infrastructure management that can support explosive growth while maintaining security and governance.

Source: Analysis of tech stacks from 1,236 companies that use Spacelift

I noticed that Spacelift users are primarily infrastructure-focused companies with mature DevOps practices. The strong correlation with tools like Scalr, Pulumi, and Docker Hub tells me these are engineering-first organizations that have moved beyond basic cloud adoption into sophisticated infrastructure automation. They're likely B2B software companies or technology organizations where infrastructure reliability directly impacts revenue.

The pairing with Scalr is particularly revealing since both tools solve infrastructure-as-code management challenges, suggesting these companies run complex multi-team or multi-cloud environments that need governance layers. The Pulumi correlation makes sense too because companies exploring modern IaC alternatives tend to evaluate multiple solutions and often run them side by side. Docker Hub's presence indicates containerized architectures, which naturally require the kind of automated deployment workflows that Spacelift enables. Meanwhile, PagerDuty appearing frequently suggests these companies operate always-on services where infrastructure failures have immediate business impact, requiring robust incident response processes.

The full tech stack reveals companies in growth or maturity stages rather than early startups. The presence of SonarQube Cloud indicates established code quality processes, while Golinks suggests teams large enough to need internal tooling for knowledge sharing. These aren't product-led growth consumer apps. They're engineering-heavy organizations, likely selling to other businesses, where technical excellence is a competitive advantage. The investment in this particular combination of tools suggests substantial engineering headcount, probably 50-plus engineers dealing with infrastructure complexity that justifies dedicated tooling.

Source: Analysis of Linkedin bios of 1,236 companies that use Spacelift

I noticed that Spacelift's customers span an incredibly diverse range of industries, but there's a pattern beneath the surface. These companies are building complex digital infrastructure that matters: fintech platforms processing millions of transactions, healthcare systems managing patient data, SaaS companies serving enterprise clients, and technology consultancies managing cloud environments for major brands. Whether it's AutogenAI helping companies "craft better proposals," Vim embedding tools "directly into clinical workflows," or Maxa transforming "siloed systems into a unified foundation of truth," these organizations depend on reliable, scalable infrastructure to deliver their core product.

These companies represent the full maturity spectrum, but most fall into two camps: venture-backed growth companies (Series A through C, like Weglot at $49.5M, RevenueCat at Series C, Genesis Molecular AI at $200M Series B) and established enterprises with significant scale (GoHealth with 2,360 employees, Delivery Hero with 39,000+, Salesforce). Even smaller teams often serve enterprise clients or manage complex infrastructure, suggesting technical sophistication regardless of company size.