alphacoders

Full-stack Engineer

• Further development and customization of the proALPHA ERP application and ensuring a stable system landscape
• Preparation of technical specifications based on functional and system requirements
• Integration of third-party systems and connection of external applications such as administrative, shipping, or webshop systems
• Execution of functional tests and responsibility for systematic error analysis as well as remediation of identified issues
• Active participation in digitalization projects in the areas of e-invoicing, digital documents and process automation
• Supporting users in 2nd-level support and close collaboration with key users in day-to-day operations

ERP Software Developer

DevOps Engineer

• Aufbau, Betrieb und Optimierung einer stabilen, skalierbaren und sicheren Cloud-Infrastruktur
• Gestaltung und Pflege von CI/CD-Pipelines, Automatisierung von Build, Test und Deployment
• Betrieb und Optimierung von Cloud- und Container-Umgebungen
• Sicherstellung von Monitoring, Logging und Observability, um Performance und Stabilität zu gewährleisten
• Integration von Security-by-Design in die Entwicklungsprozesse sowie Automatisierung von Sicherheits- und Compliance-Checks

Senior DevOps Engineer

Application Engineer

• technischer Lösungs- und Implementierungspartner in Projekten einbringen, von der fachlichen Konzeption bis zur technischen Umsetzung
• enge Abstimmung mit relevanten Stakeholdern an der Konzeption, Umsetzung und Optimierung von Release- und Change-Prozessen arbeiten
• Entwicklung und Erweiterung von C#/.NET-Anwendungen sowie REST-APIs zur Integration interner Systeme und externer Plattformen
• Unterstützung bei der Einführung und Anpassung von ERP-Cloud-Lösungen, idealerweise Microsoft Business Central
• Betreuung und Weiterentwicklung geschäftskritischer Applikationen inklusive 2nd-/3rd-Level-Support

IT Application Engineer – m/w/d

Data Scientist

• As a technical solution and implementation partner, you will work on varied client projects and support the entire machine-learning lifecycle from data analysis to production deployment.
• You will develop, validate and optimize machine-learning models using Python and common frameworks such as TensorFlow and scikit-learn.
• The operationalization of models (deployment, monitoring, integration) is a central part of your responsibilities — with a focus on MLOps and production systems.
• You will analyze and process large datasets (e.g., using Python, SQL, Spark) and derive concrete recommendations for the business units.
• In close coordination with clients and internal stakeholders, you will present results clearly and advise on data-driven decisions.

• Technical solution and implementation partner in projects
• Design and contribute to release and change processes
• Develop and extend C#/.NET applications and REST APIs
• Support the implementation of ERP cloud solutions (Microsoft Business Central)
• Maintain and enhance business-critical applications
• Provide 2nd-/3rd-level support and liaise with end users