Autómatika engineer állások Németországban (it programozás, fejlesztés)

• 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.

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...

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, build and operate scalable test automation frameworks for enterprise environments
• Drive and consult on test automation strategies for our customers
• Develop and maintain automated test cases (e.g. regression, integration, system and acceptance tests)

Design, implement, and operate scalable web applications and services based on Java and Spring – from idea and implementation to deployment, monitoring, and optimisation in production....

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

• 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

• 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

• Development of tests for safety and mission critical software in the field of helicopter avionics
• Analysis and debugging of software in context of test operations
• Implementation of automated scenarios
• Carrying out formal software acceptance tests including reviews and documentations

• 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

• 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.

You take strategic ownership of an AI Moderation Layer as a hardened platform service: define architecture standards, security policies, SLAs/SLOs, and ensure global scalability and integration with AI platform services.You design and lead a multi-layered defense strategy against jailbreaks, prompt...

• You develop and industrialise end-to-end machine learning algorithms for ADAS functions.
• Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches.

• Design, build and operate scalable test automation frameworks for enterprise environments
• Drive and consult on test automation strategies for our customers
• Develop and maintain automated test cases (e.g. regression, integration, system and acceptance tests)

Architecture & System Design: Identify and address architectural limitations, make pragmatic trade-offs, and help evolve systems toward scalability, reliability, and long-term maintainability....

• 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

As a research engineer, you will be at the forefront of pioneering system design, with the responsibility to architect, develop, and deploy sophisticated AI systems that seamlessly integrate reinforcement learning with agentic AI systems and multi-modal foundation models....

• Lead and mentor a team of developers, fostering a culture of excellence, collaboration, and innovation
• Technical strategy: Drive architectural decisions, coding standards, and best practices across the stack

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....