No-code autonomous CloudOps platform for AWS and Azure operations
MontyCloud builds a no-code CloudOps platform that automates monitoring, cost and security work for IT teams running cloud workloads. Its stack pairs AWS serverless (Lambda, DynamoDB, Fargate) with chaos tooling like Gremlin and load testers such as JMeter and Gatling, and LangGraph plus CrewAI point to agentic AI inside the product. Job posts on Azure billing allocation and savings plan attribution suggest FinOps is expanding beyond AWS.
MontyCloud is a privately held software company founded in 2018 and headquartered in Redmond, Washington, with 51–200 employees. It offers a no-code platform that automates day-to-day cloud operations, covering cost optimization, security and compliance. Its customers are IT teams and managed service providers running cloud environments, primarily on AWS with growing Azure coverage. The company hires in the United States and India, with recent roles concentrated in senior engineering.
MontyCloud runs on AWS with Python and Java, using Lambda, DynamoDB, Aurora, Fargate, Docker and Kubernetes, plus Datadog, New Relic, Splunk, Jenkins, GitLab CI/CD, and LangGraph and CrewAI for AI agents.
Yes, MontyCloud's hiring leans mostly toward senior and staff engineering roles in the United States and India, though overall hiring pace has slowed recently.
Current work includes cloud monitoring automation, disaster recovery and incident management, chaos engineering, a high-performance pipeline engine, and Azure billing allocation and budget design.
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MontyCloud'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.