Python developer állások Hajdú-Bihar megyében (it programozás, fejlesztés)

What awaits you? •Work environment – you work at the Communication Center located within the BMW Group Plant Debrecen, in a modern, digitalized, open office-style environment, together with other office employees and your direct teammates. The Communication Center is a state-of-the-art office space...

What awaits you? •Work environment – you work at the Communication Center located within the BMW Group Plant Debrecen, in a modern, digitalized, open office-style environment, together with other office employees and your direct teammates. The Communication Center is a state-of-the-art office space...

• Unterstützung des Teams bei der Automatisierung und dem Testen von Cisco SD-WAN basierten Netzwerktechnologien
• Entwicklung und Pflege automatisierter Testfälle mit Python und Robot Framework
• Nutzung von Jira für Aufgabenverfolgung
• Kommunikation über MS Teams

• Gather and translate business requirements into data-driven solutions
• Create and maintain dashboards, reports, and semantic data models
• Ensure data quality, consistency, and usability across reporting solutions

• Writing clean, maintainable Python code and automation scripts
• Building CI/CD pipelines and deployment automation for AI systems
• Creating infrastructure as code and configuration management solutions
• Developing APIs, microservices, and event-driven architectures

• 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

• Nemzetközi csapat tagjaként hosszú távú tesztelési feladatok különböző projektekben
• Új automatizálási keretrendszer fejlesztése low-code tesztautomatizáláshoz
• A keretrendszer karbantartása, gondozása és folyamatos továbbfejlesztése
• Innováció és új technológiák aktív bevonása és alkalmazása

• Alkalmazások üzemeltetése és továbbfejlesztése virtualizált szerverkörnyezetben
• Komplex rendszerkörnyezet adminisztrációja és optimalizálása (elsősorban Linux, kiegészítve Microsoft technológiákkal)
• Alkalmazások biztonságos és hatékony éles környezetbe juttatása

• 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

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

• 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

• Development and operation of data pipelines
• Building data layers in OneDataLake (ODL) Central Data Store Consumer (CDSC)
• Balancing business and IT demands to build modern and efficient pipelines in public cloud environments
• Integration of data preparations into managed processes

• Building reusable AI-assisted workflows for repository intake, code scanning, dependency extraction, build issue triage, and documentation generation
• Packaging prompts, retrieval steps, tool integrations, and evaluation logic into repeatable engineering patterns suitable for enterprise delivery

• Development and enhancement of T Cloud Public platform in a customer-oriented manner
• Solving complex problems in the daily operation of a hyper-scaler's cloud backend
• Hardware-oriented work at the console
• Development and operation of monitoring and quality assurance

• Clarification and adaptation of requirements into the software environment under development
• Installation, configuration and administration of software solutions
• Creation and maintenance of technical documentation

• 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

• Development and enhancement of T Cloud platform in a customer-oriented manner
• Solving complex problems in the daily operation of a hyper-scaler's cloud backend
• Hardware-oriented work at the console
• Development and operation of monitoring and quality assurance
• Automation with common automation frameworks

• Analysis and research of cloud-native tools and frameworks for Google Cloud Platform solutions
• Support for the T-Systems Public Cloud Product Management Team in building and defining solutions

• Support technical due diligence and transition readiness using AI-assisted software engineering methods
• Analyse large software repositories to map services, dependencies, interfaces, build flows, and technical risks

• Designing OpenStack-based network services on the T Cloud Public platform
• Operating OpenStack-based network services on the T Cloud Public platform
• Further developing OpenStack-based network services on the T Cloud Public platform
• Planning automation initiatives using modern frameworks