Caylent is an AWS-focused services firm serving mid-market organizations through cloud migration, data engineering, and observability work. The tech stack reveals a data-heavy practice: heavy investment in SageMaker, Bedrock, and the full ML ecosystem (PyTorch, TensorFlow, Kubeflow), paired with pipeline tools (Airflow, Spark, Glue) and infrastructure-as-code (Terraform). Hiring is engineering-dominated with 48 engineers and 20 data specialists across senior+ roles, and geographic expansion into Mexico, Brazil, and Argentina signals scaling beyond US delivery capacity.
Notable leadership hires: Machine Learning Director, Data Practice Director
Caylent provides cloud native consulting and implementation services to organizations undertaking AWS adoption, migration, and modernization. The company operates across three primary service areas: cloud infrastructure and DevOps (migration programs, IaC, GitOps workflows), data engineering and analytics (pipeline design, multi-database migrations, observability architecture), and ML platform work (leveraging SageMaker and Bedrock). With 501–1,000 employees headquartered in Irvine, California, Caylent deploys teams across the US, Mexico, Brazil, and Argentina to support large-scale, multi-year transformation engagements where clients struggle with workload migration, re-platforming legacy systems, and ensuring on-time, on-budget outcomes.
AWS services (SageMaker, Bedrock, Lambda, Glue, EMR), containerization (Docker, Kubernetes), orchestration (Airflow, Spark), machine learning (PyTorch, TensorFlow, Kubeflow), and infrastructure-as-code (Terraform). Python, Scala, and SQL dominate engineering.
United States, Mexico, Brazil, and Argentina. Geographic diversification suggests expansion beyond US delivery for cost and capacity.
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