Python állások Budapesten főiskolai végzettséggel

• System IP microarchitecture specification and design
• SystemVerilog RTL verification and debug
• Formal bring-up of non-trivial IP blocks to achieve required quality levels

• Working across the software stack including firmware, operating systems, device drivers, compilers, runtimes and middleware
• Contributing to existing projects while exploring and prototyping ideas for the future
• Gaining hands-on experience across the software development lifecycle

• Dashboard development with Power BI to visualize sustainability data and metrics
• Data integration from internal databases, external APIs, and third-party platforms
• Client reporting collaboration with sustainability team for customized visual analytics

• Development, governance, deployment, and ongoing enhancement of liquidity analytics models and supporting infrastructure across asset classes
• Driving the analytics product lifecycle, including prioritizing initiatives, influencing roadmap decisions, and ensuring successful deployment into production

• Contribution to System IP microarchitecture specification and design
• Contribution in SystemVerilog, C and C++ to verification, modelling and debug
• Proposal and prototyping of new methodologies to improve efficiency
• Ownership and development of verification plans and environments

• Design and build artificial intelligence and machine learning solutions for enterprise clients
• Operationalize AI and machine learning solutions combining custom models with cloud and third-party AI services
• Assess client needs and data for AI/ML solutions

• Design and implement enterprise-scale data pipelines and advanced analytics dashboards
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

• Build and maintain scalable cloud infrastructures using modern services and best practices
• Proactive detection, analysis, and fixing of vulnerabilities and performance bottlenecks in cloud environments

• Monitoring security alerts, events, and activities across enterprise environments using security monitoring and detection platforms
• Investigating potential cybersecurity incidents and assisting with containment, remediation, and recovery activities

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Develop intelligent document understanding for PDFs, Word, Excel, presentations

Automatizálás és digitalizáció manuális hibakeresési, KPI-ellenőrzési és vizsgálati folyamatok kiváltásával okos, automatizált megoldásokkal és scriptekkel...

• Further development of existing optimization components of the airline management system Netline/Crew or Netline Scheduling area
• Implementation and experimentation on new and efficient optimization approaches
• Recording customer requirements for the commissioning of existing optimization components

• Technical leadership and mentoring of data engineers
• Technical oversight for Databricks solutions
• Design and implementation of scalable ETL/ELT pipelines using Databricks, Python/PySpark, SQL, and Delta Lake

• 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

• Planning, implementation, development and testing of HW/SW components for the company backbone and data center networks
• Preparation of technical feasibility studies, design proposals and execution of POCs for the networks

• Biztonsági elemző és felügyeleti rendszerek telepítése, konfigurálása, üzemeltetése
• Biztonsági elemző és felügyeleti rendszerek üzemeltetése
• SOC/MSSP szolgáltatás tervezésében való részvétel
• Presales csapat mérnöki támogatása
• Tanácsadói csapat mérnöki támogatása

• Design, deploy, and manage scalable cloud and hybrid infrastructure environments with a primary focus on automation, reliability, and security
• Build and maintain Infrastructure-as-Code solutions using Terraform and other automation tools to provision and manage AWS and on-premises resources

• Data pipeline development
• Data integration
• Data warehousing
• Data modelling
• Data quality and governance
• Performance optimization
• Collaboration with data scientists and analysts
• Technology selection
• Security and compliance
• Monitoring and troubleshooting

• Build and maintain scalable, reliable, and secure environment on AWS using Infrastructure as Code tools
• Oversee the deployment, configuration and management of clusters
• CI/CD pipeline development with designing and managing CI/CD pipelines, Infrastructure as Code, and GitOps toolset and skillset