AWS systems integrator specializing in cloud migrations and data platform architecture
Clearscale is an AWS Premier Consulting Partner executing custom cloud projects across infrastructure, application development, and data platforms. The stack reveals a data-forward orientation: Kafka, Kinesis, DynamoDB, EventBridge, and Lake Formation anchor their active work in real-time ingestion and data lakes—matching their stated pain points around ETL robustness and modernization demand. All five open roles are senior-level hires split between engineering, sales, and data, signaling either high-complexity project wins or an attempt to scale consulting delivery.
Founded in 2011, Clearscale designs and builds cloud infrastructures and applications on AWS, serving startups through enterprise clients across healthcare, finance, software, manufacturing, energy, retail, and media. The company holds 12 AWS Competencies and reports delivery of over 1,000 cloud projects. Core services span strategy, systems integration, custom application development, and ongoing management—targeting organizations with limited in-house cloud expertise or resource gaps. Headquarters in San Francisco; currently hiring in the United States and Indonesia.
Clearscale is an AWS Premier Consulting Partner holding 12 AWS Competencies. The company specializes in designing, building, integrating, and managing cloud infrastructures and applications on AWS.
Core stack includes AWS (Lambda, DynamoDB, Kinesis, SQS, EventBridge, Glue, EMR, Lake Formation), Kafka, Redis, Elasticsearch, LangChain, LlamaIndex, LLM models (GPT, LLaMA, Gemini), Java, Spring, and .NET/C#.
Recent project work centers on data lake migrations, real-time ingestion pipelines, and big data architecture design. Pain points include ETL pipeline robustness, real-time data ingestion, and managing technical debt in modernization efforts.
Clearscale'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.