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• 2nd level support for complex incidents, service requests, and operational issues
• Handling incidents, problems, changes, and service requests using ServiceNow as the central ITSM tool
• Analyzing, troubleshooting, and resolving issues across application, database, OS, and infrastructure layers

• Ownership of architecture and delivery of production-grade LLM systems and classical ML solutions
• Design, evaluation, and optimization of RAG pipelines including retrieval strategy, chunking, indexing, and monitoring

• Development of native Android applications
• Design of user interfaces and functions as planned
• Participation in the definition of requirements and estimation of tasks
• Writing Unit and UI tests
• Participation in developer testing
• Staying up-to-date with current technology trends in Android development

• Support Meridian technical due diligence and transition readiness using AI-assisted software engineering methods
• Analyse OpenStack-style services and surrounding components to map APIs, configuration flows, service dependencies, database usage, and operational assumptions

• Strengthening Meridian software handover readiness by combining AI-assisted software engineering with code quality, security validation, dependency analysis, and build evidence generation for complex cloud platform repositories
• Trustworthy validation of large codebases

• 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

• Vezetés a szoftverfejlesztés és telepítés tervezésében, fejlesztésében, tesztelésében és üzembe helyezésében
• A teljes szoftverfejlesztési életciklus irányítása az igényfelméréstől a terméktámogatásig

Work directly with clients, product owners, architects, and development teams to understand business and technical requirements and translate them into infrastructure and cloud architecture requirements...

• Development, maintenance, and support of cloud-based data operation infrastructure and production data pipelines
• Design, implementation, operation, and optimization of Azure data services and Databricks workloads

• Stable operation of highly available applications in a 24/7 environment
• Monitoring of applications
• Deployment of applications
• Continuous improvement of applications
• Contribution to operational excellence
• Support of the entire application lifecycle from deployment to productive operation

• 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

• Building AI-powered automation for complex cloud engineering environments
• Combining platform engineering, software development and cloud expertise with modern Generative AI technologies to automate parts of the software development lifecycle

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

• Design and implement cloud security controls across AWS, Azure, and/or GCP
• Deploy and tune Cloud Security Posture Management and Cloud-Native Application Protection Platform tooling
• Build security into Infrastructure-as-Code and CI/CD pipelines including IaC scanning and policy-as-code

• Administration, configuration and maintenance of Microsoft Dynamics 365 Business Central and Dynamics 365 CRM platforms
• Collaboration with various departments to gather business requirements and deliver tailored Dynamics 365 solutions

• Design and implementation of a SUSE-based virtualization platform using KVM as the hypervisor
• Certification and optimization of the platform for SAP workloads including sizing, high availability, and performance requirements

• Komplex AI megoldások fejlesztése ügyfelek számára (chatbotok, service botok, LLM-alapú alkalmazások)
• RAG (Retrieval-Augmented Generation) alapú megoldások fejlesztése Python/LangChain vagy Java/Spring AI technológiákkal

• Skálázható cloud-native adatarchitektúrák tervezése Databricks vagy MS Fabric platformokra
• Adatmodellek, sémák és tárolási minták kialakítása (lakehouse, Delta, Parquet)
• Batch és streaming adatok betöltési pipeline-jainak megtervezése
• ETL/ELT folyamatok és transzformációs stratégia meghatározása

• Coordination of operations together with Data Center, IaaS and PaaS layers
• Coordination and support of network lifecycle activities including installs, upgrades, changes, and firmware updates
• Management of network interconnections and related documentation

• Technology architect with T Cloud Public hands-on experience
• Deep expertise in public cloud architecture
• Strong understanding of VPC networking
• Strong understanding of IAM & federation
• Strong understanding of cloud security architecture
• Strong understanding of Kubernetes & container platforms