14 germany English-speaking jobs in Leverkusen

  • Hire Resolve.com
  • Leverkusen
  • January 7
petrochemical professionals to support refinery, chemical, and downstream manufacturing operations across Germany
  • Bitpanda GmbH
  • Leverkusen
  • January 16
The Engineering Manager for Screening & Risk Services will lead the development and maintenance of Bitpanda's back-end risk infrastructure. This role involves defining technical roadmaps, leading and growing a team, and collaborating with stakeholders to ensure risk-detection logic remains effective and aligned with regulatory requirements.
  • Bitpanda GmbH
  • Leverkusen
  • January 16
Lead and mentor a high-performing engineering team responsible for the core infrastructure of Bitpanda's trading and investing platform. Shape the team's technical direction, ensuring high infrastructure availability and resilience. Collaborate cross-functionally to align priorities and champion best practices in Infrastructure-as-Code, DevSecOps, CI/CD, and automation.
  • MED-EL Medical Electronics
  • Leverkusen
  • January 16
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.
  • MED-EL Medical Electronics
  • Leverkusen
  • January 16
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.
  • N26 GmbH
  • Leverkusen
  • January 16
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.
  • N26 GmbH
  • Leverkusen
  • January 16
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.
  • Bayer
  • Leverkusen
  • December 10
Logoencouraged to bring your whole self to work All applicants who apply to a posting which can be located in Germany
  • Momentive
  • Leverkusen
  • January 6
LogoRegional Finance Lead will report to the Global Commercial Finance Leader and partner with cross-functional teams to influence decision-making, optimize performance, and unlock growth opportunities across Europe.
  • Bayer
  • Leverkusen
  • December 11
LogoSenior Benefits Expert will design and implement benefit solutions, act as a global benefits advisor, and lead projects to improve benefits programs.
  • Bitpanda GmbH
  • Butterheide
  • January 17
Leads the security organization, including Security Operations, Cloud Security, Product Security, and Security Engineering. Defines and executes a security strategy to protect the platform, customers, and data. Drives cross-functional collaboration between security and other departments. Oversees security operations, ensuring threat detection, response, and prevention.
  • TechBiz Global GmbH
  • Leverkusen
  • December 26
Manages the lifecycle of DWDM optical transport products, defining product vision, strategy, and roadmaps. Develops product requirements, collaborates with cross-functional teams, and drives product adoption. Requires 7+ years of experience in optical networking product management.
  • TechBiz Global GmbH
  • Leverkusen
  • December 23
System Architect to define and drive product strategy and architecture for Optical Transport, OLT, and ONT platforms. Experience in DWDM optical networks, GPON/XGS-PON, and NETCONF/YANG required.
  • TechBiz Global GmbH
  • Leverkusen
  • November 25
Computer Vision Data Scientist will analyze receipt data for fraud patterns, develop detection methods, and build ML models. Requires 4+ years of data science experience in fraud detection, expertise in machine learning algorithms, and computer vision skills.
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