Power platform developer consultant állás, munka

• Design our software, analyze problems and implement your solutions independently focusing on C++ development and network protocols
• Develop complex software modules together with our agile development teams

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• 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.

• Develop and maintain high-performance software solutions using modern C++ to enable quality assurance in near-production industrial environments
• Collaborate with dynamic and highly motivated agile teams to provide robust workflows for optical, surface, and X-ray metrology

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....

• 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.

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)