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orchestration platforms Support strategic expansion of services into cloud environments where appropriate, balancing cost, security, compliance, and performance Participate in security reviews and implement
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cloud hosted AI platforms providing various emerging capabilities to all university members, such as AI chat bots, AI agents, etc. This includes configuring access policies, monitoring resources
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environments, cloud computing and the related security aspectes. The successful candidate will contribute to the department’s research profile and will play an active role in our educational programmes in
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, privacy-preserving ana-lytics Experience with cloud platforms or HPC environments Knowledge of regulatory and ethical considerations in AI Additional Information Benefits Monthly Salary (Gross): from EUR
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experience in data architecture, enterprise data modeling, or data engineering. Proven experience modernizing legacy data environments and designing cloud-native, AI-ready data architectures. Experience
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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building cloud-native data pipelines or enterprise data platforms. 3-5+ years of direct Snowflake development experience. Demonstrated ability to modernize legacy data structures and migrate workloads
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services across on-premises, public, and hybrid cloud environments. This includes integrating security controls into CI/CD pipelines, leveraging Infrastructure-as-Code (IaC), and orchestrating workflows
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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or Informatica Familiarity with Salesforce Education Cloud and Marketing Cloud Familiarity with Enterprise/CRM Analytics Supervisory experience with the proven ability to lead cross-functional teams to plan and