És ai állások, munkák it programozás, fejlesztés területen

• Implement and optimise SAP S/4HANA Public Cloud solutions for customers in the public, energy utilities and manufacturing sector, focusing on Finance processes
• Conduct and evaluate Digital Discovery Assessments to identify customer needs

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that...

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts....

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts....

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts....

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts....

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

• Design, build, and maintain scalable data platforms and solutions tailored to business needs
• Collaborate with stakeholders across teams to understand requirements and deliver impactful data initiatives
• Optimize and monitor data workflows to ensure performance, scalability, and reliability

• Design, build, and operate Java‑based cloud services, owning them from design through production
• Evolve scalable, secure, and reliable capabilities using modern cloud and distributed systems practices
• Improve system performance, resilience, and operability across multiple cloud regions

Use your familiarity with the Kubernetes controller runtime framework and/or modern front-end frameworks such as Vue.js to design, develop, test, and deploy new features for the Gardener Dashboard and gardenctl, the UI and CLI that power our platform....

• Implement and optimise SAP S/4HANA Public Cloud solutions for customers in the public, energy utilities and manufacturing sector, focusing on Finance processes
• Conduct and evaluate Digital Discovery Assessments to identify customer needs

Use your Kubernetes and Go expertise to contribute to Gardener's core components – the foundational building blocks that enable Gardener to manage thousands of Kubernetes clusters across various cloud providers....

Model Onboarding & Deployment: Take AI models from internal and external users into production inference workflows. Package and deploy models as containerized inference endpoints. Define and operate validation gates covering functional checks, performance benchmarks, and safety/​security...

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

Co-lead the global OT Security domain within the Digitalization Team, ensuring close alignment with Corporate IT, Maintenance, Engineering, and Production functions...

As a Cloud Architect & Advisor (CAA), you will be responsible for the private cloud technical foundation of RISE with SAP and Business Data Cloud (BDC) engagements. The CAAs' mandate spans the initial sales cycle, subsequent change requests and renewal events for private cloud architecture changes....

You build and maintain end-to-end ML pipelines using workflow orchestration tools: from data ingestion to distributed training, evaluation, model compilation, and deployment-ready artefacts....