Systemadministrator állások, munkák Budapesten

• Learning the Gaming System and underlying business model/processes
• Providing high quality 3rd line technical support for iGaming System to Customer Support Team, Central Gaming, Partners and Engineers
• Participating in regular configurations of iGaming System

• Technical consultation and client education
• Creation of feasible delivery plans for on-time, on-budget, and high-quality project implementations
• Design and implementation of high-performing, maintainable, and secure software aligned with industry best practices and company capabilities

• Design, configure, and enhance SAP PP (Production Planning) processes in S/4HANA Public Cloud
• Participation in S/4 rollouts, ensuring consistent global template adoption and local fit-to-standard workshops
• Support clients in implementing best-practice production processes

• Tackling complex technical challenges focused on scalability, reliability, and speed
• Maintaining a high-performance infrastructure that processes millions of events with low latency
• Collaborating with Data Scientists and Engineers to design and implement cutting-edge feature topologies

• Implementation of new or maintenance of existing solutions specialized in one or more SAP modules
• Provision of functional expertise, guidance, and instruction on SAP processes
• Proposal, configuration and testing of business solutions according to requirements

• Contribution to Customer Platform team
• Delivery of high-quality NodeJS, TypeScript and React code with simplicity, performance, and scalability
• Design and implementation of cutting-edge client and database-related application features

Performing tasks related to the position....

• Integrating rendered layers
• Producing the final look of the shots
• Creating and managing additional lighting tasks

• Delivery on complex data engineering projects across industries
• Leading small delivery teams
• Managing customer relationships alone or with a Project Manager
• Mentoring more junior engineers
• Evaluating the quality of junior engineers' work
• Contributing to hiring best-in-class data engineers

• Design and implementation of portfolio solutions for clients
• Ongoing management of portfolio solutions to meet client objectives and constraints
• Keeping up to date with client trends, industry news, events, research, and regulations

• Assist local team on product database creation
• Support products configuration and manage technical offers and documentation related to Low Voltage and Medium Voltage component

• Senior consultative DBA role for a global enterprise client
• Independent triage of database and infrastructure problems
• Design and implementation of solutions for MS SQL Server and Oracle environments
• Performance tuning
• High availability and disaster recovery
• Backup and recovery
• Security management

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

• Creation of 3D rigs for different types of objects, animals and characters
• Collaboration with visual effects supervisor and Lead CG to determine best technical and creative approaches
• Delivery of work within established project targets and high quality standards

• Coordination and tracking of sales pipeline and business opportunities
• Support of bid and proposal processes
• Follow-up with internal stakeholders and external partners to keep opportunities moving
• Conducting market research and identifying new business opportunities

• 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 such as logs, monitoring, gathering user feedback
• Monitoring application performance and resource planning

• Building and optimizing inference pipelines for large-scale model serving
• Working with frameworks like PyTorch, TensorRT, and vLLM to deploy models efficiently
• Implementing and optimizing ML models using techniques such as quantization, kernel fusion, and efficient batching

• 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

• Design and implement data fabric architecture across heterogeneous data sources and platforms
• Develop scalable ETL/ELT pipelines for batch and real-time data integration
• Integrate structured and unstructured data from databases, APIs, SaaS applications, data lakes, and enterprise systems

• Assisting in the smooth running of the production
• Supporting production coordinators, production managers and head of production
• Taking notes in production meetings and distributing reports
• Operating equipment for viewing tests and dailies