Autonomous Kubernetes resource management to cut cloud waste
ScaleOps builds autonomous resource management for Kubernetes workloads, running a Go, Helm, Istio and Prometheus stack across AWS, GCP and Azure (EKS and AKS). Agent frameworks like LangGraph and PydanticAI plus NVIDIA adoption point toward AI and GPU workload optimization. Hiring is accelerating and split almost evenly between sales and engineering, skewed senior, signaling a push to scale go-to-market alongside the platform.
ScaleOps is a New York-headquartered, privately held software company founded in 2022 with 51–200 employees. It develops a platform that automates cloud resource management for production Kubernetes environments, targeting DevOps, platform and FinOps teams focused on cost and performance. The product runs across AWS, GCP and Azure. The company hires in the United States and Israel, across sales, engineering, marketing, legal, finance and operations.
ScaleOps uses Go, Python, TypeScript and React, with Kubernetes, Helm, Istio, Docker, Prometheus and Grafana on AWS EKS, Azure Kubernetes Service and GCP, plus LangGraph and PydanticAI.
Yes. Hiring is accelerating, led by sales and engineering with mostly senior-level roles, plus openings in HR, marketing, finance, legal, operations and product across the United States and Israel.
ScaleOps is headquartered in New York, NY, and also hires in Israel. The company was founded in 2022 and has 51–200 employees.
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ScaleOps'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.