Python állások, munkák XII. kerületben

• Build and evolve CI infrastructure that validates performance methodologies across cloud, on-prem, and hardware targets
• Design controlled, reproducible test environments that help distinguish real regressions from environmental noise when running and profiling targeted workloads

• 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

• Accounting for intercompany transactions
• Accounting for special business events
• Monthly, quarterly, and annual financial close activities
• Reconciling and investigating billing and cost allocation queries
• Supporting regional Treasury Center for inter-affiliate financing transactions

• Üzletkritikus alkalmazások napi üzemeltetése és monitorozása
• Incidensek, hibajegyek kezelése, root cause elemzés
• Élesítések, release-ek és patchelések végrehajtása
• Linux/Unix rendszerek, Oracle adatbázisok és alkalmazásszerverek üzemeltetése
• AWS és OpenShift környezetek támogatása

• Vállalati szintű adatfeldolgozó (ETL/ELT) folyamatok tervezése és megvalósítása
• Adatintegrációs megoldások fejlesztése heterogén rendszerek között
• Adatmodellek kialakítása, optimalizálása és dokumentálása
• Adatminőségi kontrollok és monitoring mechanizmusok implementálása

• Tackling complex technical challenges focused on scalability, reliability, and speed
• Maintaining a high-performance infrastructure that processes millions of events with low latency
• Collaborating with Data Scientists and Engineers to design and implement cutting-edge feature topologies

• Daily operational activities including handling service requests and troubleshooting complex network issues
• Design, implementation, and optimization of corporate firewall architecture focusing on security, scalability, and high availability

• On-premise IT infrastruktúra üzemeltetése, támogatása és folyamatos fejlesztése
• Linux alapú rendszerek adminisztrációja
• Kubernetes klaszterek adminisztrációja
• Middleware komponensek adminisztrációja
• Automatizációs feladatok megvalósítása és karbantartása

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• 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

• Measuring performance of multi-channel patient recruitment campaigns across clinical trial portfolios
• Optimizing performance of multi-channel patient recruitment campaigns across clinical trial portfolios

• Active involvement in the software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms including software models, development boards and shipping products

• 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

• Data pipeline development
• Data integration
• Data warehousing
• Data modelling
• Data quality and governance
• Performance optimization
• Collaboration with data scientists and analysts
• Technology selection
• Security and compliance
• Monitoring and troubleshooting

• Automatizált UI és end-to-end tesztek fejlesztése, karbantartása és stabilizálása webalkalmazásokhoz
• Webes tesztautomatizálási keretrendszerek használata és továbbfejlesztése (pl. Playwright, Selenium, Cypress)
• Tesztek integrálása CI/CD folyamatokba

• Active involvement in the software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms including software models, development boards and shipping products

• Design and run Kubernetes environments optimized for AI inference, retrieval, experimentation, and agent execution in secure or isolated settings
• Deploy and operate open-source or open-weight model stacks, model gateways, vector databases, and supporting platform components

• Implementation and improvement of business objects for mobile network infrastructure in backend systems up to the API layer
• Development and maintenance of business objects including data models, backend logic, and APIs

• Design IT platforms, processes, and organizational structures for evolving Lakehouse on Azure
• Develop sustainable architectures, prototype solutions, and evaluate new technologies to drive innovation

• Design and develop scalable cloud security automation solutions across multi-cloud environments
• Build and maintain platform services using modern engineering practices and a code-first approach
• Own and enhance CI/CD pipelines that enable secure, reliable and efficient delivery