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Cloud Computing
Weilheim In Oberbayern
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0 Treffer für Cloud Computing Jobs in Weilheim In Oberbayern im Umkreis von 30 km
122 passende Jobs liegen außerhalb deiner Region
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Cloud DevOps Engineer – Azure (all genders)
Cloud DevOps Engineer – Azure (all genders)
Roland Berger Holding GmbH & Co. KGaA
Berlin, Düsseldorf, Frankfurt am Main, Hamburg, München, Stuttgart
Schnelle Bewerbung
Join the Cloud Labs team as a Cloud DevOps Engineer (all genders) and shape the digital future of Roland Berger! Are you passionate about cloud-native technologies, eager to pioneer innovative services, and excited to empower internal IT experts with scalable, self-service solutions? Then become part of our international IT team “Cloud Labs”. As a Cloud DevOps Engineer (all genders), you'll work at the intersection of product design, knowledge transfer, and templated cloud architecture. * Develop and onboard innovative cloud-based applications as part of Roland Berger's internal digital ecosystem * Implement tailored cloud-native use cases that extend and enrich Roland Berger's internal technology landscape * Collaborate with the application development team in jointly operating cloud-based software solutions * Proven experience with cloud technologies — especially Microsoft ...
Join the Cloud Labs team as a Cloud DevOps Engineer (all genders) and shape the digital future of Roland Berger! Are you passionate about cloud-native technologies, eager to pioneer innovative services, and excited to empower internal IT experts with scalable, self-service solutions? Then become part of our international IT team “Cloud Labs”. As a Cloud DevOps Engineer (all genders), you'll work at the intersection of product design, knowledge transfer, and templated cloud architecture. * Develop and onboard innovative cloud-based applications as part of Roland Berger's internal digital ecosystem * Implement tailored cloud-native use cases that extend and enrich Roland Berger's internal technology landscape * Collaborate with the application development team in jointly operating cloud-based software solutions * Proven experience with cloud technologies — especially Microsoft ...
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Azure Cloud Engineer/ SRE (m/f/d)
Azure Cloud Engineer/ SRE (m/f/d)
SimonsVoss Technologies GmbH
Unterföhring bei München
Teilweise Home-Office
Anschreiben nicht erforderlich
Schnelle Bewerbung
We are looking for a passionate Azure Cloud Engineer / SRE to join our R&D Software team. In this role, you won't just manage ; you will be the architect of a resilient, high-performance cloud ecosystem that ensures our digital locking systems work flawlessly around the globe. * Close collaboration with the to design and implement cloud infrastructure solutions * Cloud Mastery: Solid understanding of Azure core services, networking, and identity/access management (IAM). * Container Skills: Familiarity with container orchestration (Kubernetes) and cloud-native application operations.
We are looking for a passionate Azure Cloud Engineer / SRE to join our R&D Software team. In this role, you won't just manage ; you will be the architect of a resilient, high-performance cloud ecosystem that ensures our digital locking systems work flawlessly around the globe. * Close collaboration with the to design and implement cloud infrastructure solutions * Cloud Mastery: Solid understanding of Azure core services, networking, and identity/access management (IAM). * Container Skills: Familiarity with container orchestration (Kubernetes) and cloud-native application operations.
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Cloud Infrastructure & Network Operations Engineer (m/f/d)
Cloud Infrastructure & Network Operations Engineer (m/f/d)
NTT DATA
Bad Homburg, Düsseldorf, München, Hamburg, Stuttgart
Teilweise Home-Office
Anschreiben nicht erforderlich
We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. The Cloud Infrastructure & Network Operations Engineer role at NTT DATA involves managing cloud network operations with a focus on automation and DevOps principles. Candidates should have several years of experience in cloud and network architectures, strong skills in MPLS and BGP, and a commitment to continuous learning. We are looking for experienced Service Engineers (m/f/d) to join the operations team for a highly standardized and automated cloud network platform. The solution is built on modern cloud architecture and leverages advanced automation and principles. * Several years of experience operating and administering cloud and network architectures (e.g., data centers, enterprise environments).
We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. The Cloud Infrastructure & Network Operations Engineer role at NTT DATA involves managing cloud network operations with a focus on automation and DevOps principles. Candidates should have several years of experience in cloud and network architectures, strong skills in MPLS and BGP, and a commitment to continuous learning. We are looking for experienced Service Engineers (m/f/d) to join the operations team for a highly standardized and automated cloud network platform. The solution is built on modern cloud architecture and leverages advanced automation and principles. * Several years of experience operating and administering cloud and network architectures (e.g., data centers, enterprise environments).
Cloud Infrastructure & Network Operations Engineer (m/f/d) - SCI
Cloud Infrastructure & Network Operations Engineer (m/f/d) - SCI
NTT DATA
Bad Homburg, Teltow, Hannover, Düsseldorf, München, Hamburg, Stuttgart
Teilweise Home-Office
Anschreiben nicht erforderlich
We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. The Cloud Infrastructure & Network Operations Engineer at NTT DATA will manage and optimize cloud network platforms, ensuring high availability and compliance. The role requires expertise in cloud architecture, , and incident management. Cloud Infrastructure & Network Operations Engineer (m/f/d) We are looking for experienced Service Engineers (m/f/d) to join the operations team for a highly standardized and automated cloud network platform. The solution is built on modern cloud architecture and leverages advanced automation and DevOps principles. * Several years of experience operating and administering cloud and network architectures (e.g., data centers, enterprise environments).
We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. The Cloud Infrastructure & Network Operations Engineer at NTT DATA will manage and optimize cloud network platforms, ensuring high availability and compliance. The role requires expertise in cloud architecture, , and incident management. Cloud Infrastructure & Network Operations Engineer (m/f/d) We are looking for experienced Service Engineers (m/f/d) to join the operations team for a highly standardized and automated cloud network platform. The solution is built on modern cloud architecture and leverages advanced automation and DevOps principles. * Several years of experience operating and administering cloud and network architectures (e.g., data centers, enterprise environments).
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Together, we enable innovative AI solutions by providing robust, cloud-native infrastructure for the entire machine learning lifecycle. * You collaborate closely with , AI/ML engineers, and cloud architects to ensure robust infrastructure for the entire AI/ML lifecycle. * At least five years of professional experience in MLOps, DevOps, or Cloud Engineering with a focus on machine learning platforms. * Profound expertise in Kubernetes, AWS EKS, and related cloud services. * Strong proficiency in Python development, scripting and automation, with hands-on experience in CI/CD pipelines as well as monitoring and observability tools (e.g. ArgoCD, GitHub Actions, Prometheus, Grafana, OpenSearch/Kibana, CloudWatch).
Together, we enable innovative AI solutions by providing robust, cloud-native infrastructure for the entire machine learning lifecycle. * You collaborate closely with , AI/ML engineers, and cloud architects to ensure robust infrastructure for the entire AI/ML lifecycle. * At least five years of professional experience in MLOps, DevOps, or Cloud Engineering with a focus on machine learning platforms. * Profound expertise in Kubernetes, AWS EKS, and related cloud services. * Strong proficiency in Python development, scripting and automation, with hands-on experience in CI/CD pipelines as well as monitoring and observability tools (e.g. ArgoCD, GitHub Actions, Prometheus, Grafana, OpenSearch/Kibana, CloudWatch).
NEU
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Business Solution Architect Core - Energy Retail (f/m/d)
Business Solution Architect Core - Energy Retail (f/m/d)
E.ON Digital Technology GmbH
Essen,Berlin,Frankfurt am Main,Hamburg,Hannover,München,Würzburg
Teilweise Home-Office
Anschreiben nicht erforderlich
Deep knowledge of the RISE with SAP framework for cloud transitions
Deep knowledge of the RISE with SAP framework for cloud transitions
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Automate and monitor data workflows across cloud and hybrid environments * Experience with cloud-based data platforms (e.g., Microsoft Fabric, Databricks, Snowflake, GCP)
Automate and monitor data workflows across cloud and hybrid environments * Experience with cloud-based data platforms (e.g., Microsoft Fabric, Databricks, Snowflake, GCP)
You will architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, optimizing storage and networking for maximum throughput and cost control. * Hands-on experience with public cloud providers (AWS and Azure) and managing high-performance GPU clusters (e.g. configuring NVIDIA drivers, CUDA versions, and interconnects like InfiniBand/NCCL).
You will architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, optimizing storage and networking for maximum throughput and cost control. * Hands-on experience with public cloud providers (AWS and Azure) and managing high-performance GPU clusters (e.g. configuring NVIDIA drivers, CUDA versions, and interconnects like InfiniBand/NCCL).
You may also supervise projects in the field of Cloud Computing and Services as well as in App or Full Stack Development.
You may also supervise projects in the field of Cloud Computing and Services as well as in App or Full Stack Development.
We build and operate the ML infrastructure that takes perception and vision models from experiment to production - across a data mesh of domain-owned datasets, through large-scale distributed training on Qualcomm Cloud AI 100 and NVIDIA GPU clusters, all the way to optimized, deployment-ready artefacts for resource-constrained hardware in the vehicle.
We build and operate the ML infrastructure that takes perception and vision models from experiment to production - across a data mesh of domain-owned datasets, through large-scale distributed training on Qualcomm Cloud AI 100 and NVIDIA GPU clusters, all the way to optimized, deployment-ready artefacts for resource-constrained hardware in the vehicle.
NEU
Furthermore, you design and operate a scalable training and MLOps infrastructure, including distributed training, automated evaluation pipelines, and optimized cloud/on‑prem compute usage.
Furthermore, you design and operate a scalable training and MLOps infrastructure, including distributed training, automated evaluation pipelines, and optimized cloud/on‑prem compute usage.
You will collaborate with the engineering team to respect latency, memory, and performance budgets in edge devices and in the cloud.
You will collaborate with the engineering team to respect latency, memory, and performance budgets in edge devices and in the cloud.
Track record of successfully leading and implementing large and complex technical AI solutions in cloud or edge devices. - Deep understanding of cloud architectures (mainly AWS), container orchestration (Docker, Kubernetes) and (ML)Ops of scalable cloud services.
Track record of successfully leading and implementing large and complex technical AI solutions in cloud or edge devices. - Deep understanding of cloud architectures (mainly AWS), container orchestration (Docker, Kubernetes) and (ML)Ops of scalable cloud services.
Several years of industrial experience with CAD or geometry processing systems, including 3D kernels and strong knowledge of geometry representations (for example B Rep, point clouds, signed distance functions, implicit representations).
Several years of industrial experience with CAD or geometry processing systems, including 3D kernels and strong knowledge of geometry representations (for example B Rep, point clouds, signed distance functions, implicit representations).
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Projektmanager*in Industrie 4.0 / IIoT (m/w/d)
Projektmanager*in Industrie 4.0 / IIoT (m/w/d)
Open Industry 4.0 Alliance Implementation GmbH
München
Teilweise Home-Office
Several years of IT project management experience with a focus on transformation projects in the IT environment (classic and cloud).
Several years of IT project management experience with a focus on transformation projects in the IT environment (classic and cloud).
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Technical Marketing Manager
Technical Marketing Manager
GigaDevice Semiconductor Germany GmbH
Höhenkirchen-Siegertsbrunn
Teilweise Home-Office
Develop various DRAM-related technical content, such as product function demonstration plans (e.g., multi-device collaborative storage testing), technical explanation videos, industry application seminars, product usage tutorials (e.g., compatibility debugging with motherboards/chipsets), technical whitepapers (e.g., application optimization of DRAM in AI edge computing), conference presentation materials, and webinars, to enhance customers' technical understanding of the products.
Develop various DRAM-related technical content, such as product function demonstration plans (e.g., multi-device collaborative storage testing), technical explanation videos, industry application seminars, product usage tutorials (e.g., compatibility debugging with motherboards/chipsets), technical whitepapers (e.g., application optimization of DRAM in AI edge computing), conference presentation materials, and webinars, to enhance customers' technical understanding of the products.
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Senior Sales Consultant - Industry & Automation (m/f/d)
Senior Sales Consultant - Industry & Automation (m/f/d)
Nagarro
München, Hamburg, Frankfurt
Teilweise Home-Office
Schnelle Bewerbung
Your focus is on building long-term client relationships, developing solution-oriented sales strategies, and successfully closing complex deals in areas such as Industrial IoT, data analytics, cloud platforms, and enterprise applications. * Experience with technologies such as Industrial IoT, data analytics, cloud platforms, AI, SAP, Salesforce, or related enterprise systems.
Your focus is on building long-term client relationships, developing solution-oriented sales strategies, and successfully closing complex deals in areas such as Industrial IoT, data analytics, cloud platforms, and enterprise applications. * Experience with technologies such as Industrial IoT, data analytics, cloud platforms, AI, SAP, Salesforce, or related enterprise systems.
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Technical Deep-Dive: Strong knowledge of IT infrastructures, networks, operating systems, and cloud environments.
Technical Deep-Dive: Strong knowledge of IT infrastructures, networks, operating systems, and cloud environments.
Proven expertise in CI/CD, Infrastructure as Code, test automation, observability, secure development, and designing, developing, and operating scalable cloud architectures, ideally on Microsoft Azure
Proven expertise in CI/CD, Infrastructure as Code, test automation, observability, secure development, and designing, developing, and operating scalable cloud architectures, ideally on Microsoft Azure
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By integrating cutting-edge software capabilities, like edge computing and real-time AI-powered data processing, Quantum Systems is building next-generation UAS for clients in defence, security, public sectors.
By integrating cutting-edge software capabilities, like edge computing and real-time AI-powered data processing, Quantum Systems is building next-generation UAS for clients in defence, security, public sectors.
You design end-to-end AI and data architectures from data ingestion to serving, using and extending platforms within our vehicles with a strong focus on edge computing.
You design end-to-end AI and data architectures from data ingestion to serving, using and extending platforms within our vehicles with a strong focus on edge computing.
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Upload and manage analysis results within cloud-based data platforms (e.g., QuartzBio). * Experience working with large-scale imaging datasets (e.g., whole-slide images) and associated metadata in distributed or cloud environments. * Strong working knowledge of cloud-based data environments, modern data platforms, and dataset management workflows.
Upload and manage analysis results within cloud-based data platforms (e.g., QuartzBio). * Experience working with large-scale imaging datasets (e.g., whole-slide images) and associated metadata in distributed or cloud environments. * Strong working knowledge of cloud-based data environments, modern data platforms, and dataset management workflows.
Solid software development and engineering skills: Python, API technologies, CI/CD, and cloud-native deployment.
Solid software development and engineering skills: Python, API technologies, CI/CD, and cloud-native deployment.
You will design, build, and operate GPU‑centric AI infrastructure (especially NVIDIA) across on‑prem and cloud environments, with a strong focus on performance, scalability, and efficiency. * Experience with distributed systems and high‑performance networking (e.g. InfiniBand, NCCL), combined with experience in cloud environments (AWS, Azure) alongside on‑prem infrastructure.
You will design, build, and operate GPU‑centric AI infrastructure (especially NVIDIA) across on‑prem and cloud environments, with a strong focus on performance, scalability, and efficiency. * Experience with distributed systems and high‑performance networking (e.g. InfiniBand, NCCL), combined with experience in cloud environments (AWS, Azure) alongside on‑prem infrastructure.
Upload and manage analysis results within cloud-based data platforms (e.g., QuartzBio). * Experience working with large-scale imaging datasets (e.g., whole-slide images) and associated metadata in distributed or cloud environments. * Strong working knowledge of cloud-based data environments, modern data platforms, and dataset management workflows.
Upload and manage analysis results within cloud-based data platforms (e.g., QuartzBio). * Experience working with large-scale imaging datasets (e.g., whole-slide images) and associated metadata in distributed or cloud environments. * Strong working knowledge of cloud-based data environments, modern data platforms, and dataset management workflows.