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MontyCloud Tech Stack

No-code platform automating cloud operations and cost optimization

Technology, Information and Internet Redmond, Washington 51–200 employees Founded 2018 Privately Held
montycloud.com LinkedIn

MontyCloud builds a no-code automation platform for cloud operations, targeting AWS and Azure environments. The tech stack reveals a heavy Azure + AWS focus with emerging generative AI capabilities (Azure OpenAI, Bedrock, Semantic Kernel), while adopting Azure Well-Architected Framework and Gremlin suggests investment in resilience and chaos engineering. Active hiring skews engineering-heavy (10 of 17 roles) weighted toward senior/principal levels, paired with projects around serverless performance, cost automation, and GenAI applications — indicating the company is scaling both product depth and infrastructure maturity.

Tech Stack 82 technologies

Core StackAWS HubSpot Power BI Terraform Azure Functions CloudFormation Python CloudWatch AWS RDS AWS Lambda Java Azure Azure Cost Management Azure Advisor Azure Policy Azure Resource Manager Bicep Azure OpenAI Service Semantic Kernel Prompt Flow Azure AI Search AWS Systems Manager AWS X-Ray Bedrock AWS Bedrock AWS Security Hub AWS Cost Explorer CloudHealth Apptio Cloudability Bash+51 more
AdoptingAzure Well-Architected Framework Gremlin

What MontyCloud Is Building

◆Challenges

  • Cloud cost and governance
  • Scalability challenges
  • Scaling product
  • Cloud management platform expansion
  • Reducing serverless application costs
  • Preserving gross revenue retention
  • High-spend aws environments
  • Improving lead quality and conversion
  • Pipeline tracking and attribution
  • Data hygiene

▲Active Projects

  • Performance testing strategy for cloud management platform
  • Serverless performance testing integration into ci/cd pipelines
  • Azure-focused cloud platform capabilities
  • B2b saas platform
  • Performance testing strategy for serverless systems
  • Bifurcated playbook approach
  • Generative ai applications
  • Cloud infrastructure optimization
  • Automation of cost and security operations
  • Generative ai application development

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering
10
Product
3
Support
2
Marketing
1
Sales
1

Seniority

Senior
7
Principal
5
Staff
2
Junior
1
Lead
1
Manager
1
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About MontyCloud

MontyCloud operates an autonomous CloudOps platform designed to reduce manual cloud management workload for IT teams. The company targets mid-to-large organizations running complex AWS and Azure environments, helping them optimize cost, enforce security and compliance, and free engineering time for higher-value work. Founded in 2018 and based in Redmond, Washington, the company is privately held with 51–200 employees. Current execution centers on expanding cloud management capabilities (particularly Azure-first features), integrating serverless performance testing into deployment pipelines, and embedding generative AI into cost and security automation workflows.

HeadquartersRedmond, Washington
Company Size51–200 employees
Founded2018
Hiring MarketsIndia, United States

Frequently Asked Questions

What cloud platforms does MontyCloud support?

MontyCloud supports AWS and Azure. The tech stack includes AWS (EC2, Lambda, CloudFormation, Cost Explorer, Security Hub) and Azure (ARM, Policy, Cost Management, OpenAI Service, Functions).

What generative AI tools does MontyCloud use?

The stack includes Azure OpenAI Service, AWS Bedrock, Semantic Kernel, and Prompt Flow. Active projects list generative AI applications and automation development.

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How this profile is built

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.