We are looking for a Rust developer to help us with the development of our core project. Among the technical challenges, we facing are: low level optimizations, implementation of a new versions of indexing algorithms, GPU computing, and distributed deployment.

Join Qdrant as a Developer Advocate to empower developers and grow the community around vector search technology.

Qdrant is looking for a skilled AI Engineer who thrives at the intersection of deep technical development and community collaboration.

Senior Software Engineer focused on building and maintaining cloud-native platforms and Kubernetes management.

We are seeking a Senior Backend Engineer with strong expertise in building robust, scalable systems and a product-oriented mindset.

We are looking for a full-stack Engineer to work on a stealth project for the Qdrant ecosystem. A vibe-coding-first approach is more than welcome if you know what you actually do and how to debug and fix the vibe code.

Bridge technical and sales aspects by understanding customer needs and demonstrating vector database solutions. Create demos, POCs and provide technical expertise during sales process. Requires strong database/search knowledge and Python skills.

Design and manage highly scalable cloud platform powering vector database solutions. Work with Kubernetes operators, distributed systems, and cloud infrastructure. Requires 3-4+ years platform engineering experience with Go expertise.

Act as technical bridge between product and users, designing tailored vector search solutions. Build demos, assist with performance tuning, and provide implementation guidance. Requires 3+ years Solutions Engineering experience with strong ML/AI background.

Lead and grow Qdrant’s global DevRel strategy, sitting at intersection of engineering, marketing and community. Define strategy, create content, speak at events, and build developer community. Requires 5+ years DevRel/DevEx experience with deep understanding of vector search and ML workflows.

Guide clients through deployment and configuration of Qdrant’s vector database technology. Support infrastructure design, provide technical demos, and troubleshoot complex customer issues. Requires 3+ years experience with cloud platforms, containers, and networking.

Design and architect vector similarity search solutions for clients in the Americas region. Work with Qdrant’s Vector Database technology to solve complex search challenges.

Build and improve vector similarity search technology and contribute to Qdrant’s open-source Vector Database. Work on cutting-edge AI and ML applications.

Lead developer relations initiatives at Qdrant, helping to grow and nurture the developer community around our vector similarity search technology and open-source Vector Database.

Join Qdrant to help developers build the next generation of AI applications with vector similarity search technology. Work with our open-source Vector Database and engage with the developer community.