Python programmer állások, munkák programozó, fejlesztő kategóriában

• 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)

• 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)

• Development and operation of data pipelines
• Building data layers in OneDataLake (ODL) Central Data Store Consumer (CDSC)
• Balancing business and IT demands to build modern and efficient pipelines in public cloud environments
• Integration of data preparations into managed processes

• Partner with internal teams and model researchers to evaluate high-value use cases and understand their business context.
• Analyze use cases across the organization and advise on how to make them work effectively with our tabular foundation models.

• Development and enhancement of T Cloud Public 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

• Management of end-to-end software release process including branch management, software version control, release note documentation, and communication with collaborators
• Driving release automation by enhancing CI/CD pipelines and defect logging and tracking for releases

• 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

• Designing OpenStack-based network services on the T Cloud Public platform
• Operating OpenStack-based network services on the T Cloud Public platform
• Further developing OpenStack-based network services on the T Cloud Public platform
• Planning automation initiatives using modern frameworks

You develop advanced machine learning-based architectures for automated driving functions and shape the way in which we scale our ML development....

• 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

• Development of new applications and services expanding the cloud platform ecosystem
• Coding, testing and frequent deployment embracing modern development practices
• Automation with common automation frameworks to eliminate manual work

• Design and develop scalable cloud security automation solutions across multi-cloud environments
• Build and maintain platform services using modern engineering practices and a code-first approach
• Own and enhance CI/CD pipelines that enable secure, reliable and efficient delivery

• Cooperation with software teams to establish and implement quality processes at every stage of the development cycle
• Development of automated test cases for firmware and Linux-based systems including bootloaders, kernel, device drivers and applications

We are looking for an enthusiastic PhD student to join our Integrated Cancer Research Laboratory at the CECAD Research Center in Cologne. The position is part of a newly funded project that aims to build and design digital twins for patients with cancer. The project builds on one of the largest and...

• Design of reliable cloud architectures
• Partnership with customers, SRE teams, and internal stakeholders
• Championing automation
• Building reusable Infrastructure as Code templates and utility tools
• Design of secure cloud networks
• Driving customer success
• Operating platforms at scale

• 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 agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

The design and development of innovative safety contracts will be your core focus, establishing formal runtime interfaces to ensure safe interaction between decision-making and control in autonomous systems....

• 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

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions