Tech állások, munkák VII. kerületben

Location: Budapest, Hungary | Work Mode: OnsiteWorking Hours: 9:00–18:00 (1-hour break) | Type: Full-time...

• A rendszer megbízhatóságának és stabilitásának növelése
• Production hibák diagnosztizálása és megoldása (edge + AWS)
• Monitoring, logolás és riasztási rendszerek fejlesztése
• Deployment és frissítési folyamatok fejlesztése Linux környezetben
• Automatizáció fejlesztése (Docker, Ansible, scripting)

Design and propose changes to current data systems including migration paths and modernization strategies for legacy architectures Define and evolve the target architecture for data platforms covering ingestion, storage, processing, and consumption layers Design and implement batch and...

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 Design and management of data lakes and Lakehouse...

Designing .NET applications for various platforms Implementing .NET applications for various platforms Testing .NET applications for various platforms Understanding the business domain Challenging software requirements in the assigned scope of work Acting as a team player Providing value to the...

Lead multiple client accounts and engineering engagements simultaneously Establish scalable team structures and operating models aligned with client and business needs Ensure delivery predictability, execution quality, and sustainable team performance Drive effective governance practices, delivery...

Setup and maintenance of IT cloud infrastructure for multiple products Setup and maintenance of the Automated build/deployment jobs Maintenance of various support tools and utilities Monitoring application performance and resource planning Coordination with development and user teams to assess...

Building and optimizing inference pipelines for large-scale model serving Working with frameworks like PyTorch, TensorRT, and vLLM for efficient model deployment Implementing and optimizing ML models using quantization, kernel fusion, and efficient batching Optimizing and implementing core ML...