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• Ownership of supervisor approval workflows
• Design and evolution of backend systems for file transfer routing
• Development and maintenance of audit logging and compliance capabilities
• Leveraging AI-assisted development tools for engineering workflows

• Supporting software project management (depending on experience, you may take on the role of Scrum Master)
• Supporting general project activities (e.g. organization of PI events)
• Supporting software systems engineering, e.g., by creating requirements and documentation, performing tests

• Own and continuously develop the Finance systems landscape from a business perspective, ensuring it supports Finance strategy, regulatory requirements, and business growth
• Act as business owner of MS Dynamics 365 F&O subledger environment

• Data gathering from various organizational sources
• Design and implementation of data integration processes
• Collaboration with business stakeholders for reporting requirements
• Extraction, transformation, and loading (ETL) of raw data

• Work the queue of open support tickets alongside a mentor
• Investigate and diagnose reported technical issues
• Search internal knowledge systems to find solutions before escalating
• Escalate complex cases to senior engineers with clear troubleshooting notes

• You develop advanced algorithms for the analysis, control, protection, and optimization of industrial grids and microgrids
• You validate concepts through simulation, software prototypes, and demonstrators

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure

• Developing and maintaining backend components in Golang
• Working in an agile environment and contributing to development and end-to-end testing
• Taking ownership of code and maintaining high quality standards
• Code review and testing
• Collaborating with internal partners and airline customers

• Developing and maintaining backend components in Golang
• Working in an agile environment and contributing to development and end-to-end testing
• Taking ownership of code and maintaining high quality standards
• Code review and testing
• Collaborating with internal partners and airline customers

• Experience in different Data Science topics
• Independent delivery of Data Science projects
• Engagement with clients to understand business objectives and translate them into technical requirements
• Leading pre-sales technical discussions

• Manage the IT Product Lifecycle for new and existing custom applications
• Take ownership of all activities related to the upcoming Mauser Customer B2B Portal
• Define and standardize the technology stack for custom application development

• Designing, building and running ML workflows to build and improve our product catalog
• Building evaluation sets and validation logic that catch quality problems before customers do

Participate in strategic initiatives to help clients assess SAP security risks, define resilient security controls and frameworks, and establish good-practice security processes with long-term compliance roadmaps....

• You will work in our motivated and solution-oriented AI Feature Team using agentic development methods and with a high degree of personal responsibility.
• You will design, develop and deploy scalable AI-enabled features in our products that are used by more than 100’000 customers.

• Architecture leadership for transformation of business systems, service operations and customer fulfilment platforms
• Definition of strategic architecture direction across telecom BSS, Service Operations, Salesforce Communications Cloud, ServiceNow and enterprise integration domains

• Develop and evaluate concepts for interactive guidance in navigated ENT surgery
• Design and implement proof-of-concept applications for surgical navigation systems
• Apply technologies such as computer vision, augmented reality, machine learning, and human-computer interaction

• Architect Zero-Trust environments for LLM-based solutions
• Implement private networking (Private Link), granular RBAC (Entra ID), and automated policy enforcement
• Ensure compliance with enterprise security and audit standards
• Bridge Data Science and Engineering

• Evaluate, configure, and maintain the AI development tool stack (GitHub Copilot, custom agents, local LLMs).
• Standardise how AI agents interact and integrate with our internal tools, services, and development workflows with MCP.

• Design, implement, and operate modern integration solutions within the BESTSECRET SAP landscape.
• Develop and maintain interfaces using SAP Integration Suite (CPI)
• Implement integration scenarios using a variety of technologies: Event-driven integration, OData / REST APIs, SOAP web services, IDocs.

• Biztonsági és kockázati értékelések végzése alkalmazások és rendszerek esetében
• Frontier AI szkennelési képesség beállítása, technikai eredmények elemzése és backlog kezelése
• Jira backlogok létrehozása, kezelése és megoldása biztonsági kérdések, kivételek és kockázati tételek esetén