AWS cloud integrator and services partner for enterprise migrations and AI platforms
Classmethod is a Japan-based AWS Premier Tier partner with 20 years of cloud and application modernization work. The tech stack reveals a dual-cloud trajectory: heavy AWS deployment (Lambda, ECS, RDS, CloudFormation, CDK) paired with aggressive Azure AI adoption (Azure OpenAI, Azure Machine Learning, Azure AI Search, RAG) — signaling a shift into AI-augmented solutions. Engineering-heavy hiring (62 of 112 open roles) aligns with active project load spanning cloud migrations, API development, and legacy modernization, though internal pain points around security governance and data-mart performance suggest scaling challenges outpacing current tooling.
Notable leadership hires: Technical Lead Engineer
Classmethod delivers cloud integration and application modernization services across AWS, Azure, and GCP for mid-market and enterprise clients. The company operates as a 501–1,000-person firm headquartered in Tokyo with regional offices in Berlin, Vancouver, Seoul, Bangkok, and Da Nang, supporting 24/7 operations and local client delivery. Beyond consulting, the company runs Developers.IO, a technical media platform with 50,000+ articles and 3 million monthly page views, positioning Classmethod as a thought-leader in Japanese engineering circles. Core service lines include cloud migrations, serverless architecture, AI-driven data platforms, mobile development (iOS/Android), and security governance—with ongoing work to modernize legacy systems and expand omnichannel support capabilities.
AWS (as Premier Tier Services Partner), Azure, and Google Cloud Platform. Stack emphasis is AWS core infrastructure (Lambda, ECS, RDS, CloudFormation, CDK) with expanding Azure AI Foundry, Azure Machine Learning, and Azure OpenAI adoption.
Active projects include AWS cloud migrations, CRM implementation, API development, application modernization, omnichannel integration, and security service development. Current pain points focus on security governance, legacy app modernization, and data-mart performance optimization.
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