Global trade analyst állások, munkák it programozás, fejlesztés területen

Lead the design and evolution of frontend architecture across multiple teams, ensuring consistency, performance, and scalability. Influence and define the frontend technology stack, with a focus on Angular, TypeScript, and modern web standards. Act as a technical consultant to stakeholders,...

Partner with the Product Design Lead and/or Project Owner to ensure design work aligns with project requirements and meets internal quality standards. Take ownership of the end-to-end design process - from early concepts to high-fidelity visuals and developer handoff. Work closely with fellow...

• Join our multilingual UX Content team, reporting to a Design Manager.
• Actively contribute to driving the discipline's strategy, standards, and adoption across N26.

• Developing reference architecture and transformation plans promoting SAP best practices
• Provide architecture guidance using RISE with SAP methodology and Clean Core principles to ensure that every customer benefits from SAP‘s standard cloud qualities

Design, code, review and test assigned features and user stories, in accordance with the agile methodology employed by Diligent Collaborate with the product owner and engineering manager in the analysis and documentation of technical requirements and user stories for assigned features Assist with...

• Being part of a talented team, embracing agile principles and values.
• Lead the harmonization of access control mechanisms across multiple integrated products, ensuring a consistent and secure user experience.

Enablement & differentiation: Lead customer events and deliver persuasive narratives that establish competitive differentiation....

• 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.