Python állások Szirmabesenyőn (it programozás, fejlesztés)

• Az integrált vállalatirányítási rendszer fejlesztésének és működtetésének szakmai irányítása; az ehhez kapcsolódó IT projektek tervezésének, megvalósításának és szabályozási kereteinek kialakítása
• Aktív részvétel a vállalatirányítási rendszerek továbbfejlesztésében, fejlesztési irányok meghatározása

Technical and business support for GSCF applications supporting daily operations, fund accounting, financial reporting, and data processing functions...

• Maintaining and evolving data structures
• Building new ETL flows and maintaining or improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• Preparation for containerization and cloud deployment
• Increasing scalability of systems
• Re-evaluation of systems design
• Building an industry leading, scalable, multi-brand platform
• Supporting development teams (Backend and Frontend)
• Enhancing CI/CD pipelines
• Improving monitoring and observability

• Definition and improvement of metrics representing product performance and operations efficiency
• Data collection from multiple sources ensuring accuracy and completeness
• Data cleaning, organization, and transformation into usable formats for analysis

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools

• Design and implementation of new projects and solutions
• Installation, configuration and maintenance of Linux servers
• Installation, configuration and maintenance of cloud resources on AWS, Google Cloud, Azure
• Provision and updating of infrastructure documentation

Design, deploy, and maintain observability platforms and tools such as Prometheus, Grafana LGTM+ stack, OTel and others...

• Maintaining and evolving data structures
• Building new ETL flows and maintaining/improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• Participation in various partner projects building end-to-end web solutions from UI to backend
• Leadership and contribution to development efforts across the full stack supporting technical decision-making
• Design and implementation of web applications using modern frameworks and best practices

• Architect cloud-native AI applications integrating LLMs, vector search, and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines, model serving, and AI agents in production
• Lead cross-functional teams including full-stack, AI, and data

• Execution of the implementation of the strategy, development, and operational excellence of CI/CD platforms and Internal Developer Portals (IDPs)
• Ensuring reliable, scalable, and efficient infrastructure for engineering teams

• Architect cloud-native AI applications integrating LLMs, vector search, and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines, model serving, and AI agents in production
• Lead cross-functional teams (Full-stack, AI, Data)

• Work with Android source code and build system
• Develop, customize, and maintain Android BSP components
• Modify and improve Android platform components
• Develop, integrate, and maintain Android HAL components
• Collaborate with hardware teams for platform bring-up and troubleshooting

• Development and optimization of large-scale data processing workflows using Apache Spark, PySpark, and SQL
• Building and enhancing multi-stage ETL pipelines with idempotency and failure recovery
• Implementation and configuration of pipeline orchestration using Airflow, Dagster, or Prefect

• Building scalable and robust data pipelines to process large volumes of manufacturing, repair, software update, call center case, and connected vehicle data
• Collaborating across teams and internal organizations to develop a wider data architecture plan for all of Connected Vehicle Software

• Definition and improvement of metrics reflecting product performance, service quality, and operational efficiency
• Analysis of client behavior and service processes to identify trends, bottlenecks, inefficiencies, and drivers of performance

• Design, develop, and maintain multimedia middleware components
• Build, integrate, and optimize GStreamer-based audio/video pipelines
• Integrate media components with user-space applications and system services
• Debug and resolve complex media issues related to performance, stability, and synchronization

• Design and implement new market links and connectivity tools
• Improve and maintain existing high-load, low-latency C++ applications
• Actively reduce latency to optimize trading performance
• Ensure operational excellence and reliability of systems as they scale

• Design and implement new market links and connectivity tools
• Improve and maintain existing high-load, low-latency C++ applications
• Actively reduce latency to optimize trading performance
• Ensure operational excellence and reliability of systems as they scale