Senior Customer Support Engineer (EMEA-Based Candidates Only)

Location: EMEA (Applications from outside EMEA will be automatically discarded)
Type: Full-Time – Remote

Qdrant is an Open-Source Vector Database: https://github.com/qdrant/qdrant

We help businesses harness modern AI technologies by providing state-of-the-art neural search capabilities at scale. Our flagship product is the open-source Qdrant vector database, and we also offer a managed cloud solution for enterprise use.

We’re looking for a hands-on Customer Support Engineer who is eager to work closely with customers and solve complex technical issues. This is a high-impact opportunity for someone who leads by example and is excited to help shape the future of a growing support function in a fast-paced AI infrastructure startup.

• Provide direct technical support to our customers, addressing issues related to our vector database and SaaS platform.
• Investigate and troubleshoot complex issues involving infrastructure, cloud, and database layers.
• Collaborate with engineering and platform teams to resolve customer problems and influence product improvements.
• Build and improve internal tooling for support workflows and observability.
• Participate in the on-call rotation to ensure timely response to critical issues.
• Create and maintain clear, useful internal and customer-facing documentation.
• Lead by example through excellent technical work, initiative, and collaboration with stakeholders.

Must Have:

• Strong experience in a customer-facing support or infrastructure role.
• Proficiency in Go or Python.
• Solid understanding of Kubernetes and container orchestration.
• Experience with cloud environments (AWS, GCP, or Azure).
• Excellent communication and collaboration skills across technical and non-technical audiences.
• A proactive, problem-solving mindset and willingness to take ownership.
• Based in the EMEA region (mandatory).

Nice to Have:

• Familiarity with vector databases or similar search technologies.
• Experience with observability tools and automating support workflows.
• Understanding of DevOps tools and practices.

• A remote-first, international team working on cutting-edge AI infrastructure.
• A competitive salary with additional perks.
• Flexible working hours and async-friendly culture.
• Regular team offsites and virtual events.
• Hardware budget – choose your own setup.