Server állások Németországban (it programozás, fejlesztés)

• Design and build scalable backend services and distributed systems
• Develop cloud-native microservices powering global applications
• Build high-performance APIs and event-driven architectures
• Own services end-to-end: design, implementation, testing, deployment, and monitoring

• Design and implement high-performance software components for complex distributed systems, focusing on C++ development and advanced network protocols.
• Develop features aligned with the product roadmap and implement custom solutions for individual customer requirements.

You will be part of a new and quickly growing product amp; tech organisation, having the opportunity to shape our new teams as well as build the next revolutionary products. /pp /ppstrongYou will join one of our product teams and on a daily basis: /strong/pp /pulliDesign, develop, test, and ship...

• Work with a wide range of systems, processes and technologies to own and solve problems from end-to-end
• Uphold high engineering standards and bring consistency to the many codebases and processes you will encounter
• Work with engineers across the company to build new features at large-scale

• Design, develop, and operate reporting solutions for Procurement on our Data Lake - together with our team
• Take end-to-end responsibility for your reporting products: connecting data sources, developing and optimizing complex ETL pipelines, and modeling data according to a star schema

• Designing and maintaining the overall software architecture for our metrology systems
• Collaborating with Software Engineering, Hardware, and Product Management to align architecture with technical and business requirements

• Discussing and clarifying requirements with our internal domain experts
• Design and development of the algorithms that are optimized over various layers of our software stack
• Design and development of the software that interacts with specific hardware components

• 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

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...

Conduct regular pre-sales activities with potential customers and/or business partners, presenting technical materials of DRAM products, including core technical parameters such as storage density, read-write speed, power consumption control, and compatibility.​...