Software development engineer állások, munkák XI. kerületben

• Design, develop, and maintain scalable backend microservices using C# .NET within a Kubernetes-orchestrated environment
• Implement and improve traceability, observability, and stability of the growing microservice architecture through monitoring tools such as Grafana, Prometheus, and Dapr

• Assisting in delivering engaging training sessions and workshops
• Supporting the development of IT courses with lead trainers and technical experts
• Creating and refining educational materials including exercises, tests, and case studies

• 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

Havi, negyedéves és éves konszolidált, valamint szegmens szintű tény-terv-bázis elemzések elkészítése a mérleg és eredménykimutatás vonatkozásában, a menedzsment hatékony támogatása érdekében....

• Develop and maintain a deep understanding of commercial and financial performance across Business Units and regions
• Proactively identify key analytical topics based on trends, anomalies, risks, and opportunities

• Develop and roll out standard HR controlling processes (headcount, budgeting, forecasting)
• Provide consolidated HR cost reporting and analysis for top management
• Prepare executive-level materials and dashboards supporting corporate decisions

• 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

• Administration and support of enterprise DNS, DHCP and IPAM services using CygnaLabs QIP
• Management of DNS zones and DNS records (A, AAAA, CNAME, PTR, MX, TXT, SRV)
• Configuration and maintenance of DHCP scopes, reservations, exclusions, options and lease management

• Digitális intelligencia oktatás iskolásoknak
• Programozás oktatás iskolásoknak

• Configure and develop ServiceNow capabilities
• Build and support integrations between ServiceNow and Flexera for asset/license-related data ingestion.
• Build and support integrations between ServiceNow and NetBox for infrastructure and network/OT asset data ingestion.

• ensure full operation of a global Salesforce platform with approximately 4,000 users in around 40 countries,
• advising business units (e.g. Sales, Marketing, and Customer Service) on the implementation of Salesforce functionalities to adapt to business requirements,

• Design and develop normalized and denormalized data models to support reporting and data integration needs
• Apply dimensional modelling techniques to create efficient, scalable, and business-oriented data models
• Develop and maintain data transformations and models using SQL and dbt

• Design, build and deploy LLM-powered pipelines and autonomous agents
• Scope and deliver AI solutions with stakeholders
• Set best practices around MLOps and production-grade AI
• Mentor developers and contribute to internal knowledge-sharing

• 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

• Tesztmenedzsment feladatok vezetése a teljes tesztfolyamat szakmai kísérésével az igényfelméréstől a riportolásig
• Követelményanalízis fejlesztőkkel, üzemeltetőkkel és más érintettekkel közösen
• Tesztstratégiák tervezése, tesztelési lépések meghatározása és követése

• Regular review and challenge of engineering design documents
• Building and mentoring a high-performing engineering team
• Contribution to strategic planning and execution as part of the Engineering Leadership Team
• Acting as a role model and championing leadership behaviors

• Understanding product requirements and vision with Product Line Leaders
• Translating requirements and vision into prioritized user stories
• Developing multi generation software technology plans with product line leaders and architects

• Building AI-assisted development workflows for code understanding, documentation, build triage, and handover preparation
• Implementing workflow utilities, prompt packs, repository analysis scripts, documentation helpers, and integration adapters

• Development and refinement of core sports betting models for predicting match outcomes
• Building and maintenance of player statistics models analyzing player performance
• Design and implementation of risk management models to optimize exposure

• Development and maintenance of end-to-end manufacturing process models
• Application of simulation, value stream mapping, digital process modeling, and analytical tools to optimize manufacturing flows and improve productivity