Kubernetes lifecycle management across datacenters and clouds
Spectro Cloud operates a Kubernetes management platform built on AWS, Azure, and GCP infrastructure, with a tech stack spanning Terraform, CloudFormation, Kubernetes, and Helm. The hiring profile is heavily engineering-focused (11 of 15 active roles) at senior levels, concentrated in the US and India—a composition that aligns with their stated pain points around scaling Kubernetes reliability and infrastructure complexity. Active projects center on Go microservices and platform foundations, suggesting internal architecture work to support multi-cluster orchestration at scale.
Spectro Cloud provides a platform for managing Kubernetes environments across hybrid and multi-cloud deployments. The product targets IT and platform engineering teams running diverse cluster configurations in datacenters, public clouds, and edge environments. The company built on AWS, Azure, and GCP cloud services, uses infrastructure-as-code tools (Terraform, CloudFormation, Ansible) and open-source observability (Prometheus, Grafana, Elasticsearch), and integrates enterprise tools (Okta, Intune, JAMF) for identity and device management. Operational scale spans 201–500 employees, with headquarters in San Jose.
AWS, Azure, and GCP. The platform also supports on-premises datacenters via VMware vSphere and vCenter, and edge environments via ESXi.
Python, Go, Bash, PowerShell, Kubernetes, Terraform, CloudFormation, Ansible, Helm, and open-source observability tools (Prometheus, Grafana, Elasticsearch, Falco). Cloud platforms: AWS, Azure, GCP.
Yes. 11 of 15 active roles are engineering positions, mostly at senior levels. The company is hiring in the United States and India.
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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.