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• Design, build, and maintain build a secure and performant unified Edge platform for all partner-facing and customer-facing traffic.
• Bring a strong engineering perspective to the team, helping to instill software design best practices, scalable system architecture, and high-quality code standards.

• Manage group-wide AI security initiatives and governance
• Consult local tech and security teams on information security and operational resilience
• Evaluate AI / information security risk for the group
• Strategically analyse threat and market intelligence

• Vállalati IT infrastruktúra architektúra megtervezése, fejlesztése és dokumentálása
• Infrastruktúrához kapcsolódó architektúra-elvek, standardek és technológiai irányok kialakítása és képviselete
• IT infrastruktúrára hatással lévő projektek folyamatos figyelemmel kísérése

Work hand-in-hand with Senior Product Leadership. You will work closely with different PMs to align your roadmap with the broader company-wide AI strategy, while maintaining autonomy over your specific work-streams....

• Design necessary data models and transformations to curate raw data.
• Develop, optimize and maintain existing data models, pipelines, and transformations to support analytics, reporting, and AI use cases such as but not limited to curating, transforming, annotating and modeling data.

Responsibility for our knowledge management system, from selection and configuration through rollout and sustainable adoption in the relevant teams...

Plan and manage change and enablement initiatives to effectively drive the transformation of support, service delivery, and IT operations teams across the organization...

• Új technológiák bevezetése
• Termékfejlesztési igények implementálása
• Rendszertervezés
• Tesztelés
• Dokumentálás
• Kapcsolódó alkalmazás- és interfészfejlesztésekben való együttműködés a társszervezőkkel
• Minőségbiztosítási feladatok támogatása

• Ownership and evolution of Cypress and TypeScript end-to-end automation framework
• Integration of automated test suites into CI/CD pipelines
• Research and implementation of load and performance testing strategies
• Application of AI-assisted tools for test generation and failure triage

• Ownership of CI/CD pipeline stability across MFT and MFT Enterprise
• Building and baselining Kubernetes-based on-premise deployment environment for MFT Enterprise
• Reducing single-resource dependency on infrastructure through documentation, cross-training, and automation

• Research and evaluate AI and automation solutions and share your findings with the team
• Support reporting functions by assisting in report creation and data visualization
• Support customer master data harmonization by identifying inconsistencies and data preparation

• Frequently communicate with various stakeholders of all levels.
• Execution and review of the Information Security (IS) Controls Framework monitoring process, ensuring comprehensive coverage of cloud infrastructure and AI/ML deployments.

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...

Shape the Vision: Shape and execute an AI-first strategy for digital service, closely collaborating with global Customer Care and Field Service leaders to transform operations....

• Test activities within ORBIS
• Development of test strategies
• Design of test scenarios and test configurations
• Implementation/Support of automated tests
• Execution of tests (integration and system testing, regression)
• Continuous development of test and verification methods

Information Security & Data Privacy Manager Level of employment: 100% Working place: Allschwil and Home- Office For 26 years, Medgate has been bringing doctors directly to patients 24/7 thanks to telemedicine. At Medgate Switzerland, more than 300 motivated employees - including over 130...

• Solve concrete engineering problems around latency, throughput, consistency, data durability, and storage cost
• Own parts of the system end-to-end, from design through production rollout
• Shape the team's technical direction through design reviews, prototypes, and honest debate

• Design and develop internal tools for R&D users
• Build user-friendly interfaces (web and desktop) for searching, entering, reviewing, visualizing, and managing complex technical data

• Application development leadership
• Application implementation oversight
• Application monitoring and issue resolution
• Application maintenance management
• Application support provision
• Data validation against official sources
• Request management for data modifications

• Maintaining and evolving AI/ML projects using Python
• Building design Agentic LLM based solutions and maintaining/improving existing ones
• Ensuring output quality by verifying consistency and accuracy
• Investigating, assessing, and developing cloud based MCP solutions