Autonomous Kubernetes resource management for cost and performance optimization
ScaleOps automates cloud resource allocation across Kubernetes environments using Go, React, and observability tools (Prometheus, Grafana, Istio). The company is scaling a sales-led GTM machine (22 sales roles vs. 7 engineering) while actively hiring leadership (3 VPs, 3 directors), suggesting rapid commercialization of a technically mature platform. Pain points reveal their core wedge: bridging organizational friction between application owners and DevOps teams through automation that eliminates manual resource decisions.
Notable leadership hires: Tech Lead, Sales Director
ScaleOps builds an autonomous platform for cloud resource management in production Kubernetes environments. The product targets engineering and operations teams at enterprises running complex, cost-sensitive workloads on AWS, GCP, and Azure. Founded in 2022 and based in New York, the company operates across North America, Europe, and India. The technical foundation—Kubernetes-native architecture with real-time instrumentation via Prometheus and policy enforcement through Helm and Istio—positions the platform for organizations running critical applications where both performance and cost efficiency matter.
AWS (via EKS), Google Cloud Platform (GCP), and Microsoft Azure (via Azure Kubernetes Service). The platform operates as a Kubernetes-native layer across these environments.
Actively hiring across the United States, Israel, United Kingdom, Brazil, and India, reflecting a distributed operations model.
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