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Senior Service Manager - Cloud-Infrastructure (m/w/d)
Das sind Ihre Tätigkeitsschwerpunkte Koordination/Steuerung sämtlicher Tätigkeiten der Cloud-Dienstleister zur Sicherstellung des IT-Betriebs unserer Infrastruktur Design, Betrieb, Weiterentwicklung & Überwachung der lokalen- & Cloud-Infrastruktur Automatisierung und Orchestrierung von Cloud-Ressourcen IT-Service-Management (Incident- Problem- & Change Management) Second Level Support für auftretende Incidents und Störungen Überwachung/Monitoring der Cloud – und lokalen IT-Infrastruktur (inkl. Load & Performance Monitoring) Sicherheit und Compliance - implementieren von Sicherheitsmaßnahmen und -richtlinien in der Cloud-Umgebung, um die Daten und Anwendungen angemessen zu schützen. (Teil)Projektleitung von IT-Projekten Das bringen Sie mit Erfolgreich abgeschlossene Ausbildung oder Studium im Bereich IT Mehrjährige Berufserfahrung und fachliches Know-how im Bereich lokale- & Cloud- Infrastrukturen Erfahrung in der Steuerung und Koordination externer Dienstleister Sehr gute Kenntnisse in der Administration von Windows Servern und Cloud Infrastrukturen (Fokus auf Microsoft Azure) Erfahrung im Bereich Scripting – PowerShell & Infrastructure as Code (idealerweise Terraform) Gute Kenntnisse in Cloud-Sicherheit und Compliance Perspektiven Eine attraktive Vergütung mit 13 Monatsgehältern + Tantiememodell Ein langfristiger und zukunftssicherer Arbeitsplatz Vielfältige Weiterbildungsmöglichkeiten (Remote und in Präsenz) Viele abwechslungsreiche Projekte Hochwertiges IT Equipment Tolle Zusatzleistungen (Jobrad, Sportclub, Familienservice, Gruppenunfallversicherung etc.)Partner-Anzeige31.05.202451061 KölnIT, TK, Software -
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Data and AI/ML Engineer (f/m/d)
To strengthen our team in Tübingen, Wiesbaden or Amsterdam, we are currently looking to recruit a Data and AI/ML Engineer (f/m/d) Your Responsibilities: Design and develop data pipelines that extract data from various sources (e.g., databases, data warehouses, APIs, and external systems), transform data into the desired format, and load it into the appropriate data storage systems focusing on MS Azure services (e.g., Data Factory, Synapse, Databricks) Ensure data consistency and integrity during the integration process, performing data quality checks, data validation, and cleaning as needed Monitor and tune data systems, identify and resolve performance bottlenecks, and implement caching and indexing strategies to enhance query performance Design, develop, and deploy AI/ML solutions, working closely with data scientists to transform data insights into predictive models and intelligent systems ensuring data quality, security, and governance Monitor, test, and evaluate the performance of AI/ML models, implementing continuous improvement processes to enhance accuracy and efficiency Collaborate with business teams in the areas of R&D/Clinical or Manufacturing/Supply Chain to integrate solutions into business processes, ensuring business impact and operational feasibility in daily activities Share knowledge, best practices, and insights in a growing data analytics and engineering community at CureVac Your Qualifications: University degree in computer science, data science, software engineering, or related quantitative field, or an equivalent qualification Work experience in designing and managing data pipelines with knowledge about data modeling, ETL processes, and big data technologies (e.g., Spark) to support AI & ML on a public cloud platform, preferably MS Azure Experience working with advanced statistics, machine learning, and deep learning including different architectures, embeddings, loss functions, and optimization strategies High proficiency in programming languages such as Python, SQL, and DataWeave and libraries/frameworks, e.g., TensorFlow, PyTorch Ability to work in diverse, cross-functional teams in a dynamic business environment based on agile development principles Capability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options also to non-technical audiences Fluency in English, German is a plus We offer you a challenging and varied opportunity with an innovative and dynamic company that is expanding.31.05.202472070 TübingenIT, TK, Software -
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Data and AI/ML Engineer (f/m/d)
To strengthen our team in Tübingen, Wiesbaden or Amsterdam, we are currently looking to recruit a Data and AI/ML Engineer (f/m/d) Your Responsibilities: Design and develop data pipelines that extract data from various sources (e.g., databases, data warehouses, APIs, and external systems), transform data into the desired format, and load it into the appropriate data storage systems focusing on MS Azure services (e.g., Data Factory, Synapse, Databricks) Ensure data consistency and integrity during the integration process, performing data quality checks, data validation, and cleaning as needed Monitor and tune data systems, identify and resolve performance bottlenecks, and implement caching and indexing strategies to enhance query performance Design, develop, and deploy AI/ML solutions, working closely with data scientists to transform data insights into predictive models and intelligent systems ensuring data quality, security, and governance Monitor, test, and evaluate the performance of AI/ML models, implementing continuous improvement processes to enhance accuracy and efficiency Collaborate with business teams in the areas of R&D/Clinical or Manufacturing/Supply Chain to integrate solutions into business processes, ensuring business impact and operational feasibility in daily activities Share knowledge, best practices, and insights in a growing data analytics and engineering community at CureVac Your Qualifications: University degree in computer science, data science, software engineering, or related quantitative field, or an equivalent qualification Work experience in designing and managing data pipelines with knowledge about data modeling, ETL processes, and big data technologies (e.g., Spark) to support AI & ML on a public cloud platform, preferably MS Azure Experience working with advanced statistics, machine learning, and deep learning including different architectures, embeddings, loss functions, and optimization strategies High proficiency in programming languages such as Python, SQL, and DataWeave and libraries/frameworks, e.g., TensorFlow, PyTorch Ability to work in diverse, cross-functional teams in a dynamic business environment based on agile development principles Capability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options also to non-technical audiences Fluency in English, German is a plus We offer you a challenging and varied opportunity with an innovative and dynamic company that is expanding.31.05.202465183 WiesbadenIT, TK, Software -
1To strengthen our team in Tübingen, Wiesbaden or Amsterdam, we are currently looking to recruit a Data and AI/ML Engineer (f/m/d) Your Responsibilities: Design and develop data pipelines that extract data from various sources (e.g., databases, data warehouses, APIs, and external systems), transform data into the desired format, and load it into the appropriate data storage systems focusing on MS Azure services (e.g., Data Factory, Synapse, Databricks) Ensure data consistency and integrity during the integration process, performing data quality checks, data validation, and cleaning as needed Monitor and tune data systems, identify and resolve performance bottlenecks, and implement caching and indexing strategies to enhance query performance Design, develop, and deploy AI/ML solutions, working closely with data scientists to transform data insights into predictive models and intelligent systems ensuring data quality, security, and governance Monitor, test, and evaluate the performance of AI/ML models, implementing continuous improvement processes to enhance accuracy and efficiency Collaborate with business teams in the areas of R&D/Clinical or Manufacturing/Supply Chain to integrate solutions into business processes, ensuring business impact and operational feasibility in daily activities Share knowledge, best practices, and insights in a growing data analytics and engineering community at CureVac Your Qualifications: University degree in computer science, data science, software engineering, or related quantitative field, or an equivalent qualification Work experience in designing and managing data pipelines with knowledge about data modeling, ETL processes, and big data technologies (e.g., Spark) to support AI & ML on a public cloud platform, preferably MS Azure Experience working with advanced statistics, machine learning, and deep learning including different architectures, embeddings, loss functions, and optimization strategies High proficiency in programming languages such as Python, SQL, and DataWeave and libraries/frameworks, e.g., TensorFlow, PyTorch Ability to work in diverse, cross-functional teams in a dynamic business environment based on agile development principles Capability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options also to non-technical audiences Fluency in English, German is a plus We offer you a challenging and varied opportunity with an innovative and dynamic company that is expanding.31.05.2024IT, TK, Software
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1Netzwerk ArchitekturFundierte Netzwerktechnische Kenntnisse im traditionellen LAN (Routing und Switching), sowie mit SDN LösungenGutes Verständnis von WAN, SD-WAN und WLANErfahrung mit Load Balancern, Web Proxies, WAN Acceleratoren von VorteilGrundlegendes Verständnis von Über- und Untergeordneten Technologien wie SAN und Compute Sicherheitsstrategie und -architekturEntwicklung und Implementierung einer technischen SicherheitsstrategieNetzwerksicherheit einschließlich LAN-, WAN- und SDN-TechnologienIdentity and Access Mgmt. mit Autorisierungs- und Authentifizierungskonzepten und -technologienInfrastruktur- und Endpoint-Security mit Beratung zu Konzepten, Architekturen, Tools und Konzepten für MDM und EndpointsSIEM-Management-Beratung und -Support zur Definition von SIEM-Konzepten und Best-of-Breed-LösungenTechnologie-Compliance und -Risiko zur Erlangung von Sicherheitszertifizierungen / Durchführung von Bereitschaftsprüfungen in Bezug auf ISMS,ISO 27000 oder BSI Verantwortlichkeiten: Die Hauptaufgabe besteht darin, komplexe Netzwerk- und Sicherheitslösungen für Kunden von Kyndryl zu entwerfen und zu implementieren.Partner-Anzeige14.05.2024IT, TK, Software
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Test Automation Engineer (m/w/d)
WIR WOLLEN WACHSEN und suchen Dich als Test Automation Engineer m/w/d
in Vollzeit, unbefristet, 53721 Siegburg ÜBER UNS:
Mit maßgeschneiderten IT-Lösungen und Software unterstützen wir unsere...Partner-Anzeige31.05.202453721 SiegburgIT, TK, Software -
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Quality Assurance Automation Engineer
WIR WOLLEN WACHSEN und suchen Dich als Test Automation Engineer m/w/d
in Vollzeit, unbefristet, 53721 Siegburg ÜBER UNS:
Mit maßgeschneiderten IT-Lösungen und Software unterstützen wir unsere...Partner-Anzeige31.05.202453721 SiegburgIT, TK, Software
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