JRD Systems is a 201–500-person services firm founded in 1997, focused on cloud migration, data platform modernization, and AI integration. Their project backlog—dominated by large-scale digital asset migrations, ETL workflow overhauls, and data lake buildouts using Databricks, Azure Data Factory, and Appian—reveals a core strength in guiding enterprises through legacy system consolidation. Engineering-heavy hiring (15 of 26 open roles) skewed toward senior and lead levels signals high-complexity engagements requiring deep architectural ownership, not junior staffing.
Notable leadership hires: AI Lead
JRD Systems partners with mid-market and enterprise clients on cloud migration, application modernization, robotic process automation, and data analytics. Their service menu spans cloud infrastructure optimization, custom web and application development, QA automation, low-code platforms (particularly Appian), and advanced data work including feature stores and medallion-architecture data lakes. The firm maintains delivery teams in the United States and India, with active hiring in both regions. Core competencies center on translating legacy infrastructure—monolithic apps, siloed data systems, manual processes—into AI-enabled, scalable cloud-native foundations.
Python, PySpark, SQL, Java, C#, Databricks, Azure Data Factory, Appian, AWS (Lambda, EKS, EFS, API Gateway), Docker, Oracle, React, and ETL tools including Talend, Ab Initio, Alteryx, and Informatica. Recently adopting Adobe Experience Manager as a Cloud Service.
Large-scale digital asset migrations, data platform modernization (Databricks, Azure Data Factory, Appian DAM), legacy ETL workflow modernization, data lake consolidation using medallion architecture, and enterprise content/web migrations.
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