Komodor Tech Stack

Autonomous AI platform for Kubernetes operations and troubleshooting

Software Development Tel Aviv, Tel-Aviv District 51–200 employees Founded 2020 Privately Held

Komodor builds an AI-driven SRE platform focused on Kubernetes cluster visibility, troubleshooting, and cost optimization. The stack (Kubernetes, AWS, GCP, Azure, Datadog, ArgoCD, Python, Go) reflects a deeply infrastructure-native product. Hiring skews heavily toward sales (15 roles) against a 51–200-person team, while the project roadmap centers on AI-powered failure detection, cost insights, and multi-cluster reliability—suggesting a move from manual troubleshooting toward autonomous agents.

Tech Stack 27 technologies

Core StackKubernetes AWS ZoomInfo Salesforce Datadog GitHub Linux Helm ArgoCD Python Go PostgreSQL Java C# JavaScript TypeScript React LinkedIn Sales Navigator Outreach GCP SQL Flux Azure

AdoptingGainsight Totango

What Komodor Is Building

◆Challenges

Managing reliability at scale
Support pain
Scalability pain
Productivity pain
Operate complex cloud-native environments
Firefighting kubernetes challenges
Scalability challenges
Kubernetes infrastructure challenges
Reducing cloud spend
Performance issues

▲Active Projects

Customer onboarding
Establish komodor as global standard for k8s management
Optimizing cost insights
Developing kubernetes-native agents and operators
Building advanced troubleshooting capabilities
Global cs strategy
Klaudia ai-powered kubernetes failure detection engine
Customer segmentation and journey mapping
Content strategy across all formats
Ai tools implementation for content pipeline

Hiring Activity

Accelerating25 roles · 10 in 30d

Department

Sales

Engineering

Marketing

Support

Customer-Success

Seniority

Senior

Mid

Director

Lead

Notable leadership hires: Customer Success Director

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About Komodor

Komodor is a Tel Aviv–based SRE platform built for cloud-native engineering teams managing Kubernetes at scale. The product addresses core pain points in Kubernetes operations: visibility across multi-cluster and hybrid environments, troubleshooting complexity, cost visibility, and reliability at scale. The platform surfaces changes, correlates failures, and provides remediation guidance using agentic AI. Customers span Fortune 500 enterprises and mid-market cloud-native operators. The company was founded in 2020 and is currently expanding sales and customer success globally across Israel, the US, UK, and Austria.

HeadquartersTel Aviv, Tel-Aviv District

Company Size51–200 employees

Founded2020

Hiring MarketsIsrael, United States, United Kingdom, Austria

Frequently Asked Questions

What tech stack does Komodor use?

Kubernetes, AWS, GCP, Azure, Datadog, GitHub, ArgoCD, Helm, Flux, Python, Go, PostgreSQL, and Salesforce for operations and sales.

What is Komodor working on?

Klaudia AI-powered Kubernetes failure detection, cost optimization insights, multi-cluster troubleshooting, customer onboarding automation, and establishing Komodor as the standard for Kubernetes fleet management.