Devop állások, munkák rendszertervező kategóriában

As Golang Engineer (m/f/d) in the Product Team Order Management Services you are responsible for the agile development of fast, scalable and reliable, mostly data-heavy services as well as modular and reusable components of the current and future e-commerce platform...

Senior Low-Code Architect Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future – to run...

• Technical Authority: Define backend architecture standards, hosting strategies, and binding technical directions across all agency projects
• Middleware Orchestration: Oversee the design and operation of mission-critical eCom flows

(Senior) Manager –AI Data Architect (m/w/d) Zürich/Basel/Geneva One of the fastest growing business consultancy firms in Switzerland is looking for talented candidates like you. Is business consultancy your kind of work? Do you strive to achieve excellence in a customer centric environment? Then...

• Supporting strategic implementation projects in choosing the right technologies, products, and partners (internal & external)
• Bringing in your project management expertise to ensure the project deliverables and expectations are met with internal & external technology providers

You have a solid understanding of core retail processes and you act as a bridge between Business and IT...

As a research engineer you will develop innovative methods for the validation and release of complex AI models, including probabilistic, generative, and large‑scale models....

In close collaboration with Process Owners you analyze existing processes, identify AI‑ and agent‑based use cases, and design and build AI‑driven process architectures by integrating available AI platforms, technologies, agents, data, and knowledge sources....

You develop advanced machine learning-based architectures for automated driving functions and shape the way in which we scale our ML development....

You will take a key role in shaping and designing our edge platform for developing, testing, deploying, and operating real-time applications....

Senior Software Engineer C++ At MaxWell Biosystems, we innovate the future of electrophysiology by developing cutting-edge technologies for neural activity recording. Our platform includes the software MaxLab Live, a custom-designed integrated circuit, and an FPGA-based data acquisition system that...

• define and further develop functional architectures for a sub-system of complex semiconductor systems for mask inspection
• analyze system requirements and derive technical specifications of modules belonging to image acquisition unit from them

• Build scalable AI-supported products, services and internal tools that improve business processes, efficiency and measurable outcomes.
• Act as a sparring partner for leadership, product owners and engineering teams to identify and prioritise high-impact AI opportunities.

• Ensue adherence to ServiceNow standards (out-of-the-box first) and help do develop and monitor governance directives
• Assess requirements regarding scalability, maintainability, and technical feasibility in the context of the platform

Overseeing all Master Data procedures at Panasonic Industry Europe and implementing actions to ensure updates are reflected in the appropriate support systems, including SAP and workflow applications....

End-to-End Data Lifecycle Ownership: Lead the design and implementation of tracking strategies that cover the entire lifecycle: from initial requirements gathering to Generation, and finally to automated Validation....

• Define, own, and steer end-to-end architecture and implementation working closely with our engineering team
• Translate use case requirements into architecture definitions
• Drive execution and delivery of production-ready KG solutions establishing a stable and reliable system architecture environment

• Design and evolve enterprise AI architectures, including LLM integration, RAG patterns, AI agents, and intelligent automation
• Define and implement AI guardrails, standards, and governance (model lifecycle, prompt standards, responsible AI)