Programozó állások XII. kerületben középiskolai végzettséggel

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

• Collaboration on various full-stack F# web projects
• Attendance at regular online status and team calls and/or face-to-face meetings
• Helping the team deliver each iteration on-time and successfully

Owning detection capabilities end to end from problem framing and data through experimentation to models running in production and telemetry...

• Tesztmenedzsment feladatok vezetése
• Teljes tesztfolyamat szakmai kísérése az igényfelméréstől a riportolásig
• Követelményanalízis fejlesztőkkel, üzemeltetőkkel és más érintettekkel közösen
• Tesztstratégiák tervezése
• Tesztelési lépések meghatározása és követése

• 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

• Engineering, operating, and continuously improving a Juniper-based Hybrid WAN platform built on a modern Spine-Leaf architecture
• Design of network solutions within a Juniper Hybrid WAN (Spine-Leaf) environment

• Responsibility for the software architecture including fundamental software engineering non-functional and functional requirements and constraints
• Analysis of business and technical requirements for software platforms and infrastructure

• Develop native Swift/iOS applications
• Design user interfaces and functions as planned
• Participation in requirements gathering, project and technical planning
• Writing Unit and UI tests
• Participation in developer testing
• Continuous learning

• Informatikai és digitális fejlesztési projektek koordinálása a QuantumDoctor működésében.
• AI-integrációs projektek támogatása, például stroke, embolia, trauma, mellkasröntgen vagy csonttörés felismerő rendszerek bevezetése.
• eRad PACS és kapcsolódó rendszerek funkcionális fejlesztésének koordinálása.

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

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

• Alkalmazások üzemeltetése virtualizált szerverkörnyezetben
• Alkalmazások továbbfejlesztése virtualizált szerverkörnyezetben
• Komplex rendszerkörnyezet adminisztrációja és optimalizálása Linux és Microsoft technológiákkal
• Alkalmazások biztonságos és hatékony éles környezetbe juttatása
• Hibák elemzése

• Consult requestor regarding new demands and transform them into technical requirements for the SAP BW Dev team
• Consult SAP BW users on how to optimize SAP BW usage
• End user documentation in YAM / myWiki
• Support PM/PO SAP BW in PI Planning and execution during sprints

• 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

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• Qualification and validation testing of network hardware and software
• Functional, integration, and regression testing for IP/MPLS-based services
• Validation of VPN services running on LER/CPE platforms
• Testing and qualification of IP Backbone components and Route Reflector functionality

• 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

• Management of end-to-end software release process including branch management, software version control, release note documentation, and communication with internal and external collaborators
• Driving release automation by enhancing CI/CD pipelines and defect logging and tracking for releases

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• Cooperation with software teams to establish and implement quality processes at every stage of the development cycle
• Development of automated test cases for firmware and Linux-based systems including bootloaders, kernel, device drivers and applications