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Architect the Developer Experience: Design and automate platforms that empower our teams to move fast and ship with absolute confidence. Eliminate bottlenecks. Kill the friction....

• Develop and Implement: Build and maintain platform solutions that improve the reliability, security, and scalability of our Database Platform infrastructure.
• Operational Excellence: Apply cloud infrastructure, networking, and CI/CD best practices to support our operational data storage solutions.

• Development of new features in our application
• Pairing with your team-mates, collaborating with other teams, reviewing pull requests, deploying to production through CI pipeline
• Provide technical consulting and advice to users and product management
• Cross-testing and assuring quality

Design, build, and operate database integrations and RESTful APIs for system and frontend integration, contributing to the conception and implementation of backend architectures for business applications....

• Further development and configuration of continuous integration in Gitlab and python
• Commissioning of cloud infrastructure
• Data evaluation and creation of dashboards
• Implementation of AI agents

Own and evolve our core dbt services - maintain CI/CD infrastructure, drive performance improvements, enforce quality standards, and support a large community of data practitioners building on top of it...

• Build and optimize data pipelines and SQL queries against large investment datasets
• Prototype and evaluate new approaches: agent architectures, retrieval strategies, tooling and document findings for the team

• Design/build AI-ready Lakehouse architectures (Databricks, Fabric) and data pipelines for analytics/ML
• Develop financial data models (Data Vault 2.0) with governance (Purview, Unity Catalog)
• Architect AI infrastructure: Cognitive Search, RAG, vector DBs, knowledge graphs for agentic AI

• Building and extending our Platform Services and Booking Systems
• Designing, developing, and maintaining a robust transactional API platform, that will be used internally and directly by 3rd parties
• Keeping up with the state-of-the-art of AI assisted development and applying it to everyday tasks

• You design and develop modern graphics software for embedded systems in current and future BMW vehicle platforms.
• You develop and optimize graphics stacks, including OpenGL ES, Vulkan, and GPU driver integration for embedded automotive systems.

• Own and evolve JavaScript/TypeScript client libraries and SDKs ensuring high-quality APIs, backward compatibility, and an excellent developer experience
• Drive implementation of sophisticated features across our library portfolio

Test strategy and leadership: Own comprehensive strategies for AI-enabled computational pathology; define integration, system, regression, performance, and UAT approaches; proactively manage investigations; make decisions that achieve project objectives and improve effectiveness across projects....

Test strategy and leadership: Own comprehensive strategies for AI-enabled computational pathology; define integration, system, regression, performance, and UAT approaches; proactively manage investigations; make decisions that achieve project objectives and improve effectiveness across projects....

• 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

• Develop the CI roadmap for the Neuenburg site
• Build the local management system and support its implementation
• Prioritise improvement opportunities based on impact and urgency
• Introduce Lean methods such as 5S, standardised work and structured problem solving

• Support the software development team with internal and external processes
• Support the project team in managing the complex ecosystem of DevSecOps-based deliveries
• Provide excellent customer service to clients and stakeholders

Where you belong: Where you belong: ...

• 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

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• 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