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As a Senior Software Engineer you’ll join a team of experts building the product and influence its direction from day one. You will design, develop, deploy and operate frontend and backend apps, integrate speech-to-text and LLMs, and build a framework for automated prompt refinement.

This is a full-stack role focused on backend initiatives. From day one, you will ship code to production and collaborate with Product and Design to deliver features.

Directly responsible for the current and future trading infrastructure. Design and implement low latency, highly resilient infrastructure aligned with development and trading platform requirements.

Develop modern AI applications and advance the company's AI vision with a motivated, interdisciplinary team. Translate ML engineering problems and state-of-the-art papers into business-relevant applications while contributing to CI/CD pipelines and automated tests.

Design, test and maintain cloud features in a self-organized Scrum team or support the cloud platform. Drive automation of pipelines and tests and contribute to secure software development in collaboration with product owners and stakeholders.

As Senior C++ Software Engineer in the SDK group, you will contribute to the core software platform, extend the modular framework, design data structures and algorithms, participate in architecture design and reviews, perform code reviews, and implement automated testing.

Design and build the inference platform for sovereign AI agents, taking concepts to production with architectural leadership. Work across the stack to create scalable, secure systems and a strong developer experience.

Design, build, and operate cloud and hybrid cloud–on-premise infrastructure for logging, monitoring, and data collection in industrial robotic production lines. Focus on observability, data pipelines, and system integration across factory environments and cloud platforms to enable reliable operations and diagnostics.

Lead the architecture, deployment, and management of infrastructure systems, including servers, networks, and storage. Design, implement, and maintain cloud and on-premise solutions to ensure scalability and availability.

As a Research Engineer AI, you translate ML engineering problems into business-relevant applications. You stay up to date with AI developments, write clean, maintainable code, and contribute to CI/CD pipelines and automated tests.