Global trade analyst állások Németországban (it programozás, fejlesztés)

• Lead the development of our automotive product Cybersecurity Management System aligned with global regulations and industry standards.
• Define and maintain cybersecurity engineering processes aligned with ISO/SAE 21434 across the V-model lifecycle.

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the Database Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for operational data storage solutions.

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the Database Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for operational data storage solutions.

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

Serve as a trusted advisor for HANA Cloud migrations, guiding customers in transitioning from legacy systems to cloud-native data platforms while connecting solutions to business outcomes....

• Act as NIS2 Integration Expert, bridging the German KRITIS team with other EU member states' critical infrastructure teams.
• Manage Cross-Border Integration of security protocols, processes, and controls in accordance with NIS2.

• Support strategic discussions and product designs in the customer identity product area.
• Create and support the execution of the product roadmaps, with an outcome/ KPI-driven mindset.

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.​...

• Develop and implement generative AI models for design optimization
• Integrate AI algorithms with Finite Element Method (FEM) and other simulation tools
• Analyze simulation results and propose design improvements
• Collaborate with engineers to automate optimization workflows

• Develop, test, deploy, and monitor scalable filter pipelines and transformation processes that extract relevant metrics and features from billions of events.
• Data management in a Data Lake.
• Collaborate with data scientists and software developers to optimize and scale high-performance ML models.

• Collaborate closely with your Tech Lead on architecting new features and seeing them through to completion.
• Design, develop, test, deploy and maintain software in a thriving environment.