It infrastructure engineer állás, munka

• Lead the delivery of complex IT initiatives, ensuring timely execution across internal and external teams
• Manage third-party suppliers and maintain performance oversight
• Coordinate integration points across Technology Delivery teams and communicate effectively with stakeholders.

• Strategic responsibility for the alignment and continuous development of the IT Service Portfolio and its operability
• Ensuring transparency and consistency across current, future, and end-of-life IT services
• Defining and governing service design principles, structures, and documentation standards

Design, develop, implement and own products and solutions to improve the security, reliability, and scalability of N26 cloud infrastructure and systems in the workload orchestration domain...

• Strategic responsibility for the alignment and continuous development of the IT Service Portfolio and its operability
• Ensuring transparency and consistency across current, future, and end-of-life IT services
• Defining and governing service design principles, structures, and documentation standards

• Own and deliver end-to-end Salesforce solutions - from analysis, design, and development to deployment, monitoring, and incident response
• Lead and independently drive technical projects within the team and across domains, acting as a mature and solution-oriented technical counterpart

To deliver high-quality, user-focused frontend experiences, you build complex UI features in React & Next.js, develop component-based UI systems and optimize UX together with our Product Managers and Designers....

• You will take technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• Furthermore, you will independently identify, evaluate, and manage AI-related projects.

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• Oversee and maintain Linux environments across global data centers, ensuring performance, security, and reliability.
• Design, implement, and manage Kubernetes clusters to support scalable and resilient services.

• 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

Join our team and you'll be responsible for developing robust machine learning models and deploying them at scale, bridging the gap between data science and production-ready systems. Working in the AI Labs Team you will collaborate in an innovative environment where technical excellence is valued,...

• Define and prioritize product features and roadmap aligned with business goals
• Own the product backlog and ensure clarity and feasibility as well as maintaining of user stories , epics and features
• Collaborate with SCRUM/Nexus teams to drive agile development cycles

• You will take overall technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Support the data engineering team in reconciling data between the new and the legacy systems
• Participate in monitoring, troubleshooting, and resolving data processing issues

• You create advanced AI approaches for general-purpose robotics, with a focus on robotic foundation models.
• Furthermore, you train, finetune, evaluate, and deploy models such as vision-language-action architectures.

As Lead Engineer (f/m/d)* Backend, you will take over the strategic, technical and disciplinary responsibility for one engineering team on our Agent Platform....

• You own the strategy and roadmap for domain specific foundation models; align with engineering and production leaders.
• You build and adapt large language, reasoning, and multimodal models for automation at scale.

• You build and adapt large language, reasoning, and multimodal models for automation across engineering, manufacturing, and robotics.
• In addition, you create data flywheels and scalable data pipelines, define and curate high-quality fine-tuning datasets, and design efficient annotation workflows.

• Design the core elements of the conversion program based on consumer insights and data.
• Collect and benchmark best-in-class executions from various industries and co-create solutions with markets.
• Contribute to the evolution of the global onboarding strategy.