Power platform developer consultant állások Külföldön egyetemi végzettséggel

• Provide strategic legal advice on international commodity trading transactions, including sales, shipping, and storage contracts.
• Draft, review, and negotiate complex commercial agreements such as sale and purchase agreements, intercompany agreements, charter parties, and other related contracts.

As Lead Engineer (f/m/d)* Backend, you will take over the strategic, technical and disciplinary responsibility for one engineering team on our Agent Platform....

Lead the design, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....

implement and maintain software applications and IoT systems on AWS using Python, SQL, and Linux, and continuously optimize application performance and identify areas for improvement....

Development, implementation and evaluation of a structured future technology scouting and strategic foresight process, based on multi-agent AI systems in combination with expert interaction in a large real-world research consortium...

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

• Lead pursuit engineering activities for automotive low voltage Lithium Ion batteries, Sodium Ion batteries, and super capacitors.
• Collaborate with automotive customers to understand their requirements and provide tailored electronic solutions.

Design, develop, implement and own products and solutions to improve the security, reliability, and scalability of N26 cloud infrastructure and systems in the workload orchestration domain...

• System Ownership & Lifecycle:
• Own the entire system life cycle
• for our public cloud-based infrastructure, including requirements gathering, architecting, vetting, building, and operational management.
• Automation & Operational Efficiency: Drive significant improvements in
• operational efficiency

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Support the data engineering team in reconciling data between the new and the legacy systems
• Participate in monitoring, troubleshooting, and resolving data processing issues

• Implementation of software solutions for research purposes
• Translation of research code into robust software (e. g., optimization, refactoring)
• Contribution to research projects to allow deployment (containerization, virtualization)