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• Support the continuous development, operation, and optimization of E.ON's social intranet platform Compass
• Develop and implement technical enhancements, including custom widgets, integrations, and automation solutions

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build AI solutions for intelligent document understanding

• Üzleti alkalmazások fejlesztése frontend- és backend-oldalon egyaránt
• Fejlesztési feladatok szakmai vezetése és megvalósítása
• Új technológiai megoldások és fejlesztési javaslatok beépítése különböző rendszerekbe
• Meglévő fejlesztések támogatása, hibák felderítése és javítása

• Automata tesztek írása
• Regressziós és felhasználói felületek tesztelése
• Tesztvezérelt fejlesztés támogatása

• Design, develop, and maintain backend services and APIs that support scalable cloud and on-prem systems
• Take part in architectural discussions, prototyping, and evaluating technical feasibility
• Optimize, test, and continuously improve system performance and reliability

• You develop and maintain an agentic AI toolchain for the automated vulnerability assessment of our backend systems.
• You design automated methods for identifying vulnerabilities in source code and backend functionalities using both commercial and open-source AI models.

Cloud Foundation & Landing Zone Architecture: Architect scalable multi-cloud landing zones (GCP & AWS). Own the Infrastructure-as-Code (IaC) strategy to ensure the foundation is reproducible. Implement governance, multi-tenancy, and network topology that balances strict security with...

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

• Industrialization of AI-assisted engineering workflows for Meridian
• Packaging repeatable patterns supporting codebase intake, dependency extraction, build triage, documentation generation, and technical evidence creation across cloud software work packages

• Design and build CI/CD pipelines at enterprise scale
• Build and maintain a catalogue of reusable, pre-approved infrastructure modules and deployment patterns
• Work with containerization and orchestration
• Set up observability including logging, metrics, tracing

• Ownership of supervisor approval workflows including backend system design and evolution
• Development and maintenance of audit logging and compliance capabilities
• Leveraging modern AI-assisted development tools to improve engineering workflows
• Participation in code reviews with a security-first lens

• G ood development understanding in both front-end and back-end technologies, while leveraging SharePoint object model /architecture;
• In depth technical understanding of the M 3 65/SharePoint online architecture. Able to configure SharePoint inbuilt and PnP based components;

• Apply Adobe Brand Visibility recommendations to improve brand consistency, visibility, and content quality.
• Translate insights into concrete changes to content, metadata, and digital experiences.
• Build tools and automations that streamline ingestion, onboarding, and application of ABV outputs.

• Implementing and improving business objects for mobile network infrastructure in backend systems up to the API layer
• Providing a consistent and scalable data foundation for internal systems
• Developing and maintaining business objects including data models, backend logic, and APIs

• End-to-end SRE ownership for the Global Fabric service
• Incident ownership across the customer journey from detection to resolution
• Primary operational escalation point for CF-related incidents
• Escalation of complex technical issues and coordination of resolution activities

• Design, develop, test, and deploy customizations and integrations within the 3DEXPERIENCE/ENOVIA platform
• Customize and optimize ENOVIA data models to meet product specifications and vehicle requirements
• Develop custom widgets and user-friendly interfaces to streamline workflows

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Üzleti és technológiai elvárások elemzése a kisebb változásoktól a stratégiai programokig
• Üzleti igények alakítása műszaki megoldássá
• Technológiai megoldási javaslatok kidolgozása
• Tervezés során felmerülő követelmények gyűjtése és karbantartása

• Apex, Aura/LWC, Visualforce development and tools such as Salesforce, Force.com, Lightning (Aura &Web Component)
• Use Salesforce APIs to integrate with other systems used in the organization