Technical állások, munkák Budaörsön

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely

• a kivitelezési folyamatok műszaki háttértámogatása szorosan együttműködve a projektvezetővel;
• tervdokumentációk ellenőrzése, műszaki egyeztetések előkészítése;
• költségvetések mennyiségi ellenőrzése;
• helyszíni felmérések készítése és dokumentálása;

• Solving Exchange backend related incidents
• Documenting and analyzing system outages
• Incident management
• Problem management
• Change management
• Handling and resolving error events and incoming requests
• Troubleshooting and performing root cause analysis
• Updating knowledge database and Kanban board entries

• Preparation of global regulatory submissions for CTA
• Provision of regulatory strategy advice and technical expertise to internal and external clients
• Oversight across multiple studies and projects ensuring alignment of regulatory strategy, quality, and delivery

• Leadership of client programs with high visibility among internal and client teams
• Management of client relationships and resolution of client management issues
• Management and ensuring timely delivery and quality of multiple program documents

• Ownership of account and commercial strategy
• Building executive-level trust
• Orchestration of pre-sales and upsales
• Management of financial health
• Leadership of the account leadership team
• Shaping communication flows
• Definition of success criteria
• Shaping the account's internal identity

Identification and approach of potential B2B clients in Hungary, EMEA, and the USA with focus on technology, digital transformation, cloud, and web development opportunities...

• Ownership of production database stability across engagements
• Design and implementation of monitoring and alerting that surfaces failures before user reports
• Performance tuning across business-critical systems including core applications, accounting platforms, CRM, and ERP environments

• Work with an agile mindset and according to agile methodology
• Collaboration within the team, with other teams in the Domain and Deutsche Telekom, and with software engineers using the cloud platform
• Approach work with a DevOps and continuous improvement mindset

• Collaboration with senior product managers to achieve product objectives
• Support of key projects within the product management team
• Collaboration with research, engineers and program management teams
• Support of new product development and product enhancements by creating product specifications

• End-to-end implementation of data pipelines and GenAI applications on Databricks
• Design and maintenance of CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability
• Tuning of complex Spark jobs and LLM inference patterns for efficiency and latency optimization

• Designing and developing Java-based backend microservices
• Building scalable distributed systems
• REST and event-driven communication
• Network provisioning and orchestration workflows
• PostgreSQL modeling and optimization
• CI/CD pipelines and containerized environments
• Kubernetes / Docker infrastructure

• Definition and communication of architectural vision for the Cloud Management Portal aligned with product strategy and customer outcomes
• Pragmatic architectural decisions balancing modern practices with delivery speed and customer value

• Development and enhancement of T Cloud platform in a customer-oriented manner
• Solving complex problems in the daily operation of a hyper-scaler's cloud backend
• Hardware-oriented work at the console
• Development and operation of monitoring and quality assurance
• Automation with common automation frameworks

• Category management for the Plastic Category including Injection Molding, Blow Molding, and Rotational Molding
• Alignment of category strategy with functional/business objectives
• Collaboration with Division Procurement, Quality, Operations, R&D, and Business leaders for category strategy alignment

• Design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, reviewing code and sharing best practices

• Understanding underlying data structure of an ERP system (Microsoft Dynamics 365 Finance & Operations)
• Creating technical specification (design) documents for functional requirements
• Managing existing and creating new automations using Alteryx, Python, SSIS
• Creating reports and dashboards in Power BI

• Definition and execution of automation and AI strategy aligned with GBS priorities and enterprise digital roadmap
• Leadership of a global organization including automation and AI teams across 4 locations

• Development, maintenance and enhancement of microservice-based applications using Java and Quarkus
• Operation and support of production environments running on Kubernetes including deployment automation, monitoring, troubleshooting and incident resolution

• Development, testing, and operation of automation solutions for infrastructure and network services
• Support for project teams during solution development, quality assurance, release planning, and product releases