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• Design and implementation of complex enterprise-grade software solutions
• Definition and evolution of application, data, and integration architectures
• Design and architecture of service-oriented and event-driven systems
• Development of distributed, resilient, and highly available platforms

• Design and develop AI-driven applications and software architectures using
• Build and deploy Generative AI and Large Language Model (LLM) applications
• Develop testing and evaluation methodologies for LLM-based solutions
• Work with Azure OpenAI APIs and related AI services

• Maintenance and enhancement of various Python scripts
• Development of modules for data collection from multiple sources, data processing, and storage in SQL databases
• Development of scripts and modules for data analysis and visualization

• Help to keep 3GPP specification version up to date in our device software by extending our spec-parsing Python tool
• Work on our code generation tooling for multiple programming languages (migration to a Rust-based replacement)
• Support the extension of our communication framework, based on C++

• 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.

• Design and build AI-powered automation for software quality assurance, reducing manual testing effort over time
• Develop test and evaluation infrastructure for workflow, end-to-end, REST/gRPC API and contract testing, with CI/CD integration

You own line management for a distributed team of Machine Learning Engineers and Data Scientists - running regular 1:1s, setting development goals, and driving performance reviews and career growth....

You'll independently deliver at least 2 client integration projects (API, middleware, webhook scope) end-to-end with no critical escalations within your first 6 months...

Design and maintain scalable Lakehouse architectures and data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric to support analytics and AI products....

Drive the Cloud Infrastructure Security function roadmap in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• Design, build and operate scalable data pipelines using Azure Data Factory and Databricks (batch and streaming).
• Develop and maintain robust dimensional data models (Kimball) using dbt within a modern bronze/silver/gold medallion architecture.

Design and deploy sophisticated agentic workflows using frameworks such as LangGraph, CrewAI, or AutoGen to automate complex clinical data management tasks....

• Surgical microscopes creating surgical augmented reality
• Ultrasound devices creating 3D ultrasound imaging
• Brainlab's own Robotic Arm (Cirq)

• Build and improve the WebRTC media pipeline across web, desktop and mobile clients, including audio, video, screen sharing and data channels.
• Develop and scale our Selective Forwarding Unit (SFU) and signaling services to support large meetings, webinars and breakout rooms.

Analyze complex supply chain planning and business problems to be solved with SAP IBP and integrated SAP ERP systems. Identify gaps, evaluate solution alternatives, and translate business requirements into functional and technical system specifications for SAP IBP (e.g. Demand Planning, S&OP,...

• Analyse the need with stakeholders, challenge it, and turn it into a design that fits our constraints — then implement, test, document, and deliver.
• Take ownership beyond the code: timelines, dependencies, communication with stakeholders, and the decisions that come with them.

• Advise development teams on secure software design, architecture and coding practices.
• Review security-critical code, components and APIs to identify vulnerabilities and recommend practical solutions.

• You continuously improve and scale our backend services
• You orchestrate and maintain our AWS infrastructure
• You maintain and develop our in-house CMS
• You work with the feeds of Opta (main data provider)
• You ship updates through our CI/CD pipelines using GitHub Actions

• Lead develop AI services from PoC to Production
• Lead the development of a best practice framework for AI development (both narrow and GenAI) for all dev streams and teams
• Lead the definition, evolution and drive the setup of infrastructure architecture for the AI applications we are building

• .NET services integrating with internal and external data sources;
• a .NET Web API back-end hosted on IIS and responsible for the system's core operations;
• complex reporting and business intelligence functionality implemented in Microsoft SQL Server: T-SQL, stored procedures;