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• You will contribute to the overall architecture and the design of the German NFDI EOSC Node
• You will coordinate the selection and methodology for developing a service portfolio compatible with existing requirements for the EOSC Node

Partner with research labs across ETH to identify high-impact use cases for agentic AI and co-develop novel pipelines and tools....

• Design, develop, and maintain embedded avionics software for aerospace systems
• Collaborate with cross-functional teams, including hardware engineers, systems engineers, to ensure seamless integration of software solutions into avionics systems

Maintain, develop, and advance XDS and related data-processing software across macromolecular crystallography, electron diffraction, serial crystallography, small-molecule crystallography, and adjacent techniques, ensuring it remains robust, performant, and trusted by the community...

• Development, maintenance, and support of cloud-based data operation infrastructure and production data pipelines
• Design, implementation, operation, and optimization of Azure data services and Databricks workloads

• Designing and delivering engineering solutions for our businesses and customers
• Enhancing our infrastructure capabilities and functions with new and fresh ideas
• Performing and improving QA and Test Automation frameworks

• Build and contribute to cloud-native software applications and developer tooling.
• Explore modern technologies across artificial intelligence, AI agents, mobile development, and cloud platforms.
• Automate development workflows to make software and product development faster, simpler, and more reliable.

• Lead the design and implementation of scalable data pipelines and Lakehouse architectures
• Act as the design authority
• Solve the hardest technical challenges including optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

• 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

• Ownership of features from concept to delivery including writing precise specifications and driving work through to production
• Working with AI as a first-class collaborator to orchestrate agents for creating specs, generating code and tests, verifying results, and performing reviews

• Lead and mentor a distributed US team of 13 engineers across AI/ML, cloud backend, frontend, and DevOps.
• Conduct regular 1:1s, manage performance, support career development, and foster a high-trust, continuous-learning team culture.

• Acting as the bridge between technical implementation and business stakeholders, translating complex technical topics into clear communication.
• Decision-making authority for trade-offs within the software function, balancing scope, quality, and delivery timelines.

• Analyze business processes and identify opportunities for automation and workflow optimization.
• Gather requirements from stakeholders and translate business needs into automation solutions.
• Develop, test, implement, and maintain automation workflows, scripts, and bots using appropriate technologies.

• Definition and driving of cloud products and platforms evolution
• Collaboration with engineering teams and stakeholders across Deutsche Telekom
• Delivery of scalable, reliable, and innovative cloud solutions
• Definition of product vision, strategy, and roadmap for cloud products and platforms

• Improve and extend the current analytics and AI infrastructure (built around Databricks)
• Drive the data platform by observing the fast Data and AI landscape and bringing in new ideas

• Formulate, evangelise, and drive adoption of the product security strategy
• Assess, advise on, and increase the security maturity posture
• Create a standardised security architecture and operational best practices
• Help track and drive remediation of security and technology risks

• Development and application of advanced data science methods, including transformer-based models, to marine and Arctic biodiversity data
• Work with large-scale biological and environmental datasets (sequencing data, eDNA)

Design, implement, and maintain data pipelines that integrate multimodal, structured and unstructured clinical and surgical data from proprietary data collection systems and electronic health record systems, supporting both retrospective analyses and secure live or near-real-time data flows in...

• Manage the IT Product Lifecycle for new and existing custom applications
• Take ownership of all activities related to the upcoming Mauser Customer B2B Portal
• Define and standardize the technology stack for custom application development

Perform research in the field of closed-loop medication systems, aiming at point-of-care antibiotics level measurement from whole blood and utilizing this data for automated dose control...