Kubernetes and AI infrastructure management from edge to cloud
Spectro Cloud builds Palette, a platform for running Kubernetes, VM and AI workloads across AWS, Azure, GCP, Oracle Cloud and bare metal from Dell, HPE and Supermicro. Its stack spans both NVIDIA and AMD Instinct/ROCm alongside inference servers like Triton, vLLM and KServe, a sign of a hardware-agnostic GPU strategy. Hiring is senior-heavy and engineering-led, with VMware migration and partner co-sell recurring across job posts.
Spectro Cloud is a privately held software company founded in 2019 and headquartered in San Jose, California, with 201–500 employees. It develops PaletteAI, a management platform for containerized, virtualized and AI infrastructure that runs in cloud, edge, on-premises, air-gapped and sovereign environments. The company sells to enterprises, sovereign AI cloud operators and public sector organizations. Its engineering is built on Go and Kubernetes distributions such as RKE2, and it hires across the United States, India and the United Kingdom.
Spectro Cloud uses Go, Kubernetes, RKE2, Docker and Terraform, runs on AWS, Azure, GCP and Oracle Cloud, and works with NVIDIA and AMD ROCm GPUs plus Triton, vLLM and KServe for inference.
Job posts point to ongoing Palette platform development, a PaletteAI Launchpad for VMware migration, AI-assisted test automation, a Go microservices foundation and CI/CD release gates.
Spectro Cloud hires in the United States, India and the United Kingdom, with most openings in engineering at senior level, plus sales, product, legal, security and support roles.
Other companies in the same industry, closest in size
Spectro Cloud's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.