Cloud engineer állás, munka

Drive the Cloud Infrastructure Security function roadmap in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• Standardize Azure architectures and resources using Infrastructure-as-Code — with a strong focus on automation and enabling internal teams through self-service capabilities
• Develop and onboard innovative cloud-based applications as part of Roland Berger's internal digital ecosystem

• Develop and operate Java microservices that power Adobe's cloud platform, supporting a large global audience
• Improve the performance, reliability, and security of services your team owns end-to-end

Cloud platform engineering: Develop and implement automation processes for the deployment and operation of cloud software and services using platform engineering, infrastructure as code (e.g., Terraform), and Kubernetes....

What You'll Do: We are seeking a skilled Cyber Detection Engineer to join our team and work on cutting-edge cloud and container security projects. This role offers the opportunity to develop and implement strategies to detect anomalous or malicious behavior in Public Cloud environments such as AWS,...

• Put a focus on IT/digital project assignments & become part of the digital transformation of aviation
• In the trainee program, you have the chance to focus on IT & digital projects & work on forward-looking solutions with high technological & strategic relevance

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every...

Drive the adoption and effective use of AI solutions (e.g., Azure AI, Copilot) to optimize internal processes and enhance employee productivity...

Own the SDK architecture. Technical direction for a library built on numerical algorithms and solver logic. Module boundaries, interface contracts, versioning. Drive key decisions through our RFC process....

• Do discovery, design, develop, test, deploy and maintain software in a thriving environment.
• Manage individual project priorities and deliverables while working in a team that enjoys knowledge sharing sessions.
• Stay up to date with the latest trends in technology.

• Design, develop, and integrate components for establishing trust (e.g. via SPIFFE) and securing network connections (e.g. mTLS, IPSec, Wireguard) in dynamic environments
• Leverage existing Open Source software to implement state of the art security features

• Unique opportunity to contribute to the development of the SAP-RPT model family
• Design, develop and manage tools and data pipelines that enable the processing of tabular data at scale

• 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

• Contribute to building and maintaining robust Java microservices that power creative tools
• Explore cloud technologies and dive into AWS infrastructure alongside experienced developers
• Help ensure quality and reliability through testing and providing fresh perspectives on our solutions

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....

• Enable and optimize CI/CD practices to ensure reliable, automated software delivery.
• Own and maintain development and test environments, ensuring stability, scalability, and reproducibility.
• Drive automation across build, test, deployment, and release processes.

• Supporting a team of systems engineers, systems architects, and hardware engineers in the deployment of customer systems
• Applying the requirements engineering process to define functional and non-functional system requirements based on user requirements

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Participate in monitoring, troubleshooting, and resolving data processing issues

You design the reference architecture for the ML platform end-to-end: data ingestion, PB-scale data lake, heterogeneous training clusters, model registry, and deployment-ready artefacts....

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases