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• Design and maintain a Commerce-wide engineering metrics framework to track delivery health and team performance
• Review metrics health at team, product, and portfolio level to surface bottlenecks and delivery risks early

• 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 implement enterprise-scale data pipelines and advanced analytics dashboards
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

• 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

• 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.

• Definition and driving of cloud products and platforms evolution
• Collaboration with engineering teams and stakeholders across Deutsche Telekom
• Definition of product vision, strategy, and roadmap for cloud products and platforms
• Understanding of customer needs, market trends, and business priorities

• 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

• Leading a cross-functional Product Driven Organization team in building advanced analytics and cloud-native data products in the EU Sales and CO2 Compliance domain
• Bridging the gap between complex statistical modeling, cloud architecture, and strategic senior executive decision-making

• 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

• 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.

• 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

• 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

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...

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

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

Develop and extend OpenCHAMI to meet the infrastructure management and operational requirements of CSCS’s current and next-generation supercomputing systems....

• Data ingestion process building and maintenance from various sources into the Data Lake
• Complex data pipeline design, development, and optimization for reliable data flow
• Framework building, development, and maintenance to facilitate data pipeline construction