5 germany English-speaking jobs in Chemnitz

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.

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.

Lead, mentor, and grow a cross-functional engineering team to deliver high-quality and scalable solutions that enhance the discovery experience. Collaborate closely with product managers, designers, and stakeholders to align team efforts with business goals and user needs. Oversee the technical delivery of features and improvements, ensuring timely and high-quality outcomes. Drive engineering best practices, including code reviews, testing, and continuous integration/deployment, to maintain a robust development process. Foster a culture of innovation, ownership, and collaboration to inspire the team to excel.

Designs, develops, and implements platform solutions to enhance the reliability, security, and scalability of the AI Platform infrastructure. 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. Mentors and coaches team members, fostering a culture of knowledge sharing, technical excellence, and continuous improvement. Drives incident management and troubleshooting efforts, ensuring a stable and predictable AI development and deployment environment. Improves observability and monitoring to ensure the AI Platform meets performance and compliance requirements.