Enterprise cloud migration and data platform services for manufacturing and Fortune 500
MSRcosmos is a services firm specializing in cloud migrations, data engineering, and enterprise application work across Azure, AWS, and on-prem infrastructure. The tech stack reflects a mature Hadoop/big-data foundation (Cloudera, Spark, Kafka, HBase) paired with modern cloud tooling (Azure, Snowflake, AWS Glue), while active projects center on AWS migrations and data pipeline buildouts—signaling a shift away from legacy on-prem architectures. Hiring velocity is accelerating with 12 roles posted in the last 30 days, heavily weighted toward senior engineers, suggesting aggressive scaling of delivery capacity.
MSRcosmos delivers digital transformation services to mid-market and enterprise customers, with expertise spanning cloud migrations, data modernization, generative AI strategy and deployment, intelligent automation, and enterprise application implementations. The firm operates a global delivery model across 16 offices in 4 continents, with primary presence in the US, UK, and India. Core technical pillars include cloud services (Azure, AWS, GCP), data engineering and analytics (Cloudera, Snowflake, Databricks), generative AI, and automation (RPA, infrastructure-as-code). Key customer challenges they address include legacy system migrations with zero downtime, data storage cost optimization, pipeline performance monitoring, and production reliability—particularly acute in manufacturing and capital-intensive industries.
Core stack includes Cloudera Data Platform, Apache Spark, Kafka, Snowflake, Azure, AWS, SQL Server, Oracle, and supporting tools: Visual Studio, Jira, Postman, DBeaver, Toad. Languages: Python, JavaScript, C#, Perl.
Primary platforms: Azure, AWS, and GCP. Recent project activity shows heavy AWS migration work. The company is also replacing AWS in certain contexts, indicating a multi-cloud optimization strategy.
MSRcosmos LLC'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.