Egen is a 700+ person services firm anchored in cloud platforms (GCP, AWS, Azure) and data engineering, now actively adopting generative AI tools (Gemini, GPT-4, LLaMA) while simultaneously migrating clients away from BigQuery and GCP—a pattern suggesting a shift toward multi-cloud and AI-first delivery models. The hiring mix skews heavily toward senior and lead engineers in cloud and data roles, reflecting sustained demand for complex infrastructure transformations.
Notable leadership hires: Resource Management Lead
Egen provides technology services specializing in cloud migration, data engineering, analytics, and AI applications. The firm operates across the United States, Canada, Europe, and India with over 700 technology specialists serving mid-market and enterprise customers. Core work centers on cloud modernization projects (GCP-to-AWS migrations, on-premises-to-Azure lifts), data pipeline optimization (ETL/ELT tuning, BigQuery-to-Snowflake migrations), and emerging generative AI use cases such as document summarization, classification, and retrieval-augmented generation (RAG). The tech stack reflects a polyglot, client-driven model: multi-cloud platforms (GCP, AWS, Azure), Kubernetes infrastructure, and BI tools (Looker, Power BI, Tableau) alongside emerging LLM integrations.
Egen uses GCP, AWS, Kubernetes, Terraform, GitHub/GitLab, Salesforce, BigQuery, Looker, Power BI, SQL Server, Azure Synapse, and Databricks. They are adopting Tableau, Google Gemini, GPT-4, and Cloud Run.
Egen focuses on cloud modernization (GCP-to-AWS migrations, on-prem-to-Azure lifts), data workload migrations (BigQuery-to-Snowflake), ETL/ELT optimization, and generative AI applications including document summarization, classification, Q&A, and RAG pipelines.
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