1889 English-speaking jobs in North Rhine-Westphalia

Dynamics 365 CRM Solution Engineer will analyze business needs, configure and integrate the CRM system, and troubleshoot issues. Requires 3+ years of Dynamics 365 experience, proficiency in CRM configuration, and integration tool knowledge.

Product Manager for electric-acoustic solutions and related objective measures. End-to-end product lifecycle management, including requirements gathering, development support, launch activities, and in-life management. Delivery of presentations and training, and representation of the company at conferences and workshops.

Dynamics 365 CRM Solution Engineer will analyze business needs, configure and integrate the CRM system, and troubleshoot issues. Requires 3+ years of Dynamics 365 experience, proficiency in CRM configuration, and integration tool knowledge.

Product Manager for electric-acoustic solutions and related objective measures. End-to-end product lifecycle management, including requirements gathering, development support, launch activities, and in-life management. Delivery of presentations and training, and representation of the company at conferences and workshops.

Dynamics 365 CRM Solution Engineer will analyze business needs, configure and integrate the CRM system, and troubleshoot issues. Requires 3+ years of Dynamics 365 experience, proficiency in CRM configuration, and integration tool knowledge.

Product Manager for electric-acoustic solutions and related objective measures. End-to-end product lifecycle management, including requirements gathering, development support, launch activities, and in-life management. Delivery of presentations and training, and representation of the company at conferences and workshops.

Dynamics 365 CRM Solution Engineer will analyze business needs, configure and integrate the CRM system, and troubleshoot issues. Requires 3+ years of Dynamics 365 experience, proficiency in CRM configuration, and integration tool knowledge.

Designs, implements, and maintains cloud-based infrastructure for the AI Platform, focusing on reliability, security, and scalability. Provides technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborates with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency.

Designs, implements, and maintains cloud-based infrastructure for the AI Platform, focusing on reliability, security, and scalability. Provides technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborates with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency.

Designs, implements, and maintains cloud-based infrastructure for the AI Platform, focusing on reliability, security, and scalability. Provides technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborates with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency.

Own the lifecycle of N26's public cloud infrastructure, focusing on third-party tools, AI services, and integrations. Drive operational efficiency through automation and scripting.

Designs, implements, and maintains cloud-based infrastructure for the AI Platform, focusing on reliability, security, and scalability. Provides technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborates with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency.

Designs, implements, and maintains cloud-based infrastructure for the AI Platform, focusing on reliability, security, and scalability. Provides technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborates with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency.

Designs, implements, and maintains cloud-based infrastructure for the AI Platform, focusing on reliability, security, and scalability. Provides technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborates with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency.

Own the lifecycle of N26's public cloud infrastructure, focusing on third-party tools, AI services, and integrations. Drive operational efficiency through automation and scripting.

Own the lifecycle of N26's public cloud infrastructure, focusing on third-party tools, AI services, and integrations. Drive operational efficiency through automation and scripting.

Lead the development of Bitpanda's DeFi Wallet, a smart, non-custodial wallet for seamless and secure access to the decentralized world. Manage a team of 8 across web, mobile, backend, and blockchain domains. Define and deliver the wallet's technical roadmap, including account abstraction, secure key management, cross-chain interoperability, and dApp integrations. Collaborate with Product, Design, and Security to translate vision into scalable, compliant, and elegant technical solutions. Stay current on DeFi, smart contract standards, and new blockchain protocols.

Dynamics 365 CRM Solution Engineer will analyze business needs, configure and integrate the CRM system, and troubleshoot issues. Requires 3+ years of Dynamics 365 experience, proficiency in CRM configuration, and integration tool knowledge.

Designs, implements, and maintains cloud-based infrastructure for the AI Platform, focusing on reliability, security, and scalability. Provides technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborates with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency.

Designs, implements, and maintains cloud-based infrastructure for the AI Platform, focusing on reliability, security, and scalability. Provides technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborates with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency.