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• Development, customization, and maintenance of ServiceNow applications, modules, and integrations
• Collaboration with cross-functional teams to understand business requirements and translate them into technical solutions

• Operating and supporting several systems in Azure
• Designing and continuously improving monitoring, alerting, and logging
• Supporting incident handling including troubleshooting, root-cause analysis, and prevention
• Building operational automation such as runbooks and standardized procedures

• Building AI-assisted development workflows for code understanding, documentation, build triage, and handover preparation
• Implementing and maintaining AI-assisted engineering utilities for repository indexing, code summarization, dependency extraction, log parsing, and documentation generation

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

• Collaborate with business stakeholders and leadership teams to gather requirements, develop, and support data modelling and BI solutions for organizational stakeholders
• Integrate different data sources into a cohesive data fabric, ensuring data consistency, accuracy and reliability

• Application support for SAP HCM within Deloitte HR systems landscape
• Analysis, troubleshooting, and resolution of incidents and service requests
• Communication with internal stakeholders for requirements clarification and status updates

• Részvétel hosszútávú K+F, termékfejlesztési és ügyfél bevezetési projektekben
• Új termékek és termékfunkciók kitalálása
• Ügyfelek igényeinek és a termékekkel kapcsolatos piaci elvárások megértése
• Új funkcionális koncepciók kialakítása
• Követelmények gyűjtése és elemzése a specifikációs folyamatban

• Design and build secure infrastructure foundation for AI-assisted software development
• Operate Kubernetes environments hosting AI engineering tools and services
• Implement GitOps and Infrastructure as Code patterns for provisioning and configuration

• Design, build, and maintain build a secure and performant unified Edge platform for all partner-facing and customer-facing traffic.
• Bring a strong engineering perspective to the team, helping to instill software design best practices, scalable system architecture, and high-quality code standards.

• Backend & API Development: Design, build, and maintain full-stack applications using Java and Spring Boot
• System Integration: Create RESTful APIs to connect frontends with multiple backend systems and databases

• Ensure adherence to ServiceNow standards (out-of-the-box first) and help do develop and monitor governance directives
• Assess requirements regarding scalability, maintainability, and technical feasibility in the context of the platform

• Native Swift/iOS application development
• User interface and function design as planned
• Requirements gathering participation
• Project and technical planning participation
• Unit and UI test writing
• Developer testing participation
• Continuous learning

• 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

• 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

• 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.

• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.

• Own the development and ongoing evolution of the Software Engineering Center, from requirements through design, implementation, testing, and rollout
• Work directly with colleagues across departments to understand their needs and turn them into reliable features

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• Monitoring configuration, maintenance and usage of environments configured with virtual machines and cloud based infrastructures (Kubernetes)
• Cooperation with platform engineers, software architects, delivery teams and operational units

• Participation in various partner projects building end-to-end web solutions from UI to backend
• Leadership and contribution to development efforts across the full stack supporting technical decision-making
• Design and implementation of web applications using modern frameworks and best practices