Platform engineer állások Németországban (it programozás, fejlesztés)

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

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

• Work closely with Product Management to understand the business needs and find appropriate technical solutions
• Design, own and operate scalable, secure payment systems that handle financial transactions efficiently in a multi‑tenant Cloud/SaaS environment

• 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

• Build Fullstack Features: Implement user-facing features using modern frameworks and connect them to backend APIs.
• Backend Development: Contribute to Python-based backend services (Django REST or FastAPI), including API endpoints and business logic.

• Design, and manage deployments on Kubernetes clusters within our internal and commercial cloud infrastructure
• Develop and maintain state-of-the-art/modern FastAPI-based microservices, ensuring automated and reliable deployment using Helm charts and Pulumi

You will be a key driver in promoting and implementing innovative Artificial Intelligence solutions within Bosch. Your work will provide significant value to our global engineering quality organization....

• Design, implement and continuously improve DevOps concepts, CI/CD templates, pipelines and automation for SAP landscapes (e.g. SAP BTP, S/4HANA)
• Enable reliable build, test and deployment processes across SAP Cloud and on-premise environments

Business Analysis: Analyze business requirements along the full value chain of a globally operating industrial insurer to support our international digitalization strategy...

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...

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....

• Develop and maintain ETL/ELT pipelines for both structured and unstructured data
• Ensure the integrity, availability, and performance of data across ingestion and storage layers
• Collaborate with analysts and architects to translate business requirements into scalable data models

• Bring-up of new hardware in close cooperation with our electrical teams, providing robust interfaces for our high-level application teams
• Create drivers for new boards, components and sensors (e.g. optical & lightning)
• Evaluate new hardware based on EVK and development kits

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....

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...

• Build and evolve mobile solutions: Design, develop, and maintain high-quality React Native applications.
• Own architecture and technical decisions: Understand platform specifics, runtime behavior, dependencies, and deployment pipelines to ensure maintainable, efficient, and scalable mobile solutions.

Directly impact your team's tech scope: work hand in hand with PM and EM to manage product technical roadmaps and dependencies to minimise technical debt....

• 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

• Partnering with IT and business stakeholders to translate operational needs into scalable ServiceNow solutions, including service catalogs, workflows, and reporting
• Facilitating workshops and aligning ITIL-based processes with ServiceNow capabilities to drive adoption and process excellence