
11 - 50 employees
Founded 2022
☁️ SaaS
🤖 Artificial Intelligence
💰 $15M Series A on 2023-12
Cloud • SaaS • Artificial Intelligence
ScaleOps is a cloud-native optimization platform that focuses on automating real-time resource management for Kubernetes environments. By utilizing intelligent scheduling and automated rightsizing, ScaleOps enables businesses to reduce their Kubernetes costs by up to 80%, while enhancing cluster reliability and performance. Designed with DevOps in mind, ScaleOps allows teams to optimize CPU and memory allocation effortlessly and focus on strategic initiatives rather than manual configurations.
🕒 August 4
🗣️🇮🇱 Hebrew Required
Where this job comes from
Posted on ScaleOps - Cloud-Native Optimization's careers page, not through a job board
First seen by Remote Rocketship August 4
Still open on ScaleOps - Cloud-Native Optimization's site. Checked 9 hours ago.

11 - 50 employees
Founded 2022
☁️ SaaS
🤖 Artificial Intelligence
💰 $15M Series A on 2023-12
Cloud • SaaS • Artificial Intelligence
ScaleOps is a cloud-native optimization platform that focuses on automating real-time resource management for Kubernetes environments. By utilizing intelligent scheduling and automated rightsizing, ScaleOps enables businesses to reduce their Kubernetes costs by up to 80%, while enhancing cluster reliability and performance. Designed with DevOps in mind, ScaleOps allows teams to optimize CPU and memory allocation effortlessly and focus on strategic initiatives rather than manual configurations.
• Own ScaleOps' infrastructure end-to-end — its self-hosted product, installation and onboarding flows, SaaS platform, and AI infrastructure • Manage cloud infrastructure across AWS, GCP, and Azure, including networking, security, SSO, and compute • Work closely with customers on deployments and troubleshooting • Collaborate with backend, product, and R&D teams to support rapid feature delivery without compromising reliability • Identify and eliminate operational toil through automation and tooling improvements • Maintain security and compliance best practices across the infrastructure stack
• 5+ years of hands-on experience in infrastructure, platform engineering, or SRE roles in high-scale distributed systems • Hands-on experience with at least two major cloud providers: AWS, GCP, or Azure • Solid understanding of networking, security groups, IAM, SSO/OIDC, and cloud-native security principles • Strong ownership mentality • Full professional fluency in Hebrew and English • Nice to have: deep expertise with Kubernetes, Helm, and Go • Nice to have: experience with cloud cost optimization, resource management, or infrastructure tooling companies
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