Python programozó diákmunka állások, munkák it programozás, fejlesztés területen

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that...

• Design, develop, and maintain scalable data pipelines in cloud and hybrid environments
• Contribute to the architecture of enterprise data platforms with a system-oriented mindset
• Work with large-scale datasets using SQL, Spark, and cloud-native tools

• 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
• Design and build intelligent document understanding solutions

• Implementing and evaluating state-of-the-art quantum algorithms (e.g., QAOA, VQE, quantum annealing or others) for an optimization problem in the scope of optical systems
• Implement prototypes and demonstrators to evaluate quantum-enhanced optimization concepts for ZEISS applications

• 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
• Design and build intelligent document understanding solutions

• 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

• Implement and evaluate state-of-the-art motion planning and control approaches for highly unstructured environments
• Develop, refactor and maintain motion generation pipelines building blocks in a large robotics codebase
• Test approaches on real hardware in greenhouses

• Lead the end-to-end implementation of data pipelines and GenAI applications on Databricks
• Design and maintain CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability
• Tune complex Spark jobs and LLM inference patterns for maximum efficiency and minimum latency

• 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

• Building transformative AI capabilities from the ground up
• Working with conversational and agentic AI technologies to develop user-facing features
• Experimenting with generative AI models and techniques
• Tackling challenges at the intersection of AI and enterprise software

• 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

• Automation and database management
• Creation of technical specification documents for functional requirements
• Management and creation of automations using Alteryx, Python, SSIS
• Creation of reports and dashboards in Power BI
• Building data models and creating measures in DAX

• Elosztott rendszerek teljes körű observability-jének kiépítése
• Mikroszervizek teljes körű observability-jének kiépítése
• Felhőalapú infrastruktúrák teljes körű observability-jének kiépítése
• Teljesítmény javítása cutting-edge eszközökkel és módszertanokkal

• Collaboration with cross-functional teams to create user-centered designs
• Design of intuitive and visually appealing interfaces for web and mobile applications
• Conducting user research, competitive analysis, and usability testing
• Creation of wireframes, prototypes, and high-fidelity mockups

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn data into actionable business value aligned with business goals

• Design our software, analyze problems and implement your solutions independently focusing on C++ development and network protocols
• Develop complex software modules together with our agile development teams

• End-to-end penetration testing engagements across web applications, APIs, cloud environments (AWS, Azure & GCP), and internal infrastructure
• Simulation of real-world attacks to identify security risks
• Mentoring junior penetration testers and helping grow a high-performing offensive security team

• Development of highly scalable services realizing AI/ML functionalities
• Implementation of machine learning solutions addressing computer vision and NLP use cases
• Work with Large Language Models (LLMs) and perform prompt engineering tasks

• Monitoring configuration, maintenance and usage of environments with virtual machines and cloud based infrastructures (Kubernetes)
• Cooperation with platform engineers, software architects, delivery teams and operational units

• 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
• Definition and ownership of target-state GCP network architecture