Extensive expertise in designing and developing robust software utilizing TypeScript, Python, and C++.
Strong foundation in software architecture and design patterns, version control systems (Git) and hands-on experience with CI/CD pipelines.
Strong background in containerization and orchestration technologies, specifically Docker, Docker Compose, and Kubernetes.
Deep understanding of Linux environments, demonstrating native fluency with the command-line interface (CLI) and OS-level operations.
Fullstack versatility, with the expectation to confidently navigate and contribute across the entire stack utilizing AI assistance; prior experience with React is advantageous.
Solid experience working with relational databases, writing complex SQL queries, and utilizing Object-Relational Mapping (ORM) frameworks.
Hands-on experience developing for and deploying to embedded systems and hardware AI accelerators, particularly within the NVIDIA Jetson ecosystem.
Proven ability to architect and optimize video processing pipelines, with practical experience using multimedia frameworks such as GStreamer.
Modern development workflow proficiency, including the confident and reliable use of AI coding assistants (e.g., Claude Code, Cursor) to accelerate development while applying strict quality control to ensure high-grade, production-ready code.
Familiarity with Computer Vision and Deep Learning concepts, architectures, and applications is considered a strong plus.
Excellent communication skills, featuring full professional fluency in English (both written and verbal); proficiency in German is a strong plus.
Deep technical curiosity and a passion for understanding the internal workings and underlying mechanics of complex systems.
Highly collaborative approach, demonstrating an enthusiasm for building great software within a team of skilled and motivated peers.
Visible open-source contributions, demonstrated through a public profile (e.g., GitHub) or shared personal projects, are highly valued and considered a significant asset.
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