DEVnet operates a Python + AWS + Azure stack focused on energy trading, quantitative finance, and risk modeling. The hiring mix—anchored in data and engineering roles at mid-to-senior levels, with leadership gaps in specialized functions—reflects active development on valuation platforms, risk models, and ETRM (Energy Trading and Risk Management) systems. Current project velocity centers on cloud migration (CI/CD, Azure DevOps) and internal AI implementation, suggesting a push to modernize legacy trading infrastructure.
DEVnet is a Munich-headquartered software consultancy founded in 1998, now operating 150 experts across offices in Munich, Frankfurt, Hamburg, and Wrocław. The firm builds custom software solutions and digital transformation services for mid-market and enterprise clients in financial services, energy, and mobility sectors. Core focus areas are energy trading platforms, quantitative risk modeling, managed services, and data-driven digital strategy. The team blends traditional consulting delivery with hands-on engineering, using AWS, Python, R, Azure, and legacy platforms like Allegro and Endur to address client digitalization and trading infrastructure modernization.
Python, R, AWS, Azure, SQL Server, Azure DevOps, PowerShell, and VBA. The firm also maintains expertise in legacy ETRM platforms (Allegro, Endur) while building new solutions on Python and Azure.
Active projects include valuation platform development, risk model development, ETRM system implementation (Allegro, Endur), CI/CD pipeline automation, cloud-based platform operations, and internal AI system implementation.
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