Senior Customer Support Engineer (EMEA-Based Candidates Only) at Qdrant

Worldwide

<p><strong>Location</strong>: EMEA (Applications from outside EMEA will be automatically discarded)<br/><strong>Type</strong>: Full-Time – Remote</p> <p>Qdrant is an Open-Source Vector Database: <a href="https://github.com/qdrant/qdrant" rel="noopener nofollow" target="_blank">https://github.com/qdrant/qdrant</a></p> <p>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.</p> <p>We’re looking for a <strong>hands-on Customer Support Engineer</strong> 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.</p> <h2 id="tasks">Tasks</h2> <ul> <li>Provide <strong>direct technical support</strong> to our customers, addressing issues related to our vector database and SaaS platform.</li> <li>Investigate and troubleshoot complex issues involving infrastructure, cloud, and database layers.</li> <li>Collaborate with engineering and platform teams to resolve customer problems and influence product improvements.</li> <li>Build and improve internal tooling for support workflows and observability.</li> <li>Participate in the <strong>on-call rotation</strong> to ensure timely response to critical issues.</li> <li>Create and maintain clear, useful internal and customer-facing documentation.</li> <li><strong>Lead by example</strong> through excellent technical work, initiative, and collaboration with stakeholders.</li> </ul> <h2 id="requirements">Requirements</h2> <p>Must Have:</p> <ul> <li>Strong experience in a <strong>customer-facing support or infrastructure role</strong>.</li> <li>Proficiency in <strong>Python or similar language</strong></li> <li>Good understanding of <strong>Kubernetes</strong> and managing workloads.</li> <li>Experience with cloud environments (AWS, GCP, or Azure).</li> <li>Excellent communication and collaboration skills across technical and non-technical audiences.</li> <li>Familiarity with <strong>vector databases</strong> or similar search technologies.</li> <li>A proactive, problem-solving mindset and willingness to take ownership.</li> <li>Based in the <strong>EMEA region</strong> (mandatory).</li> </ul> <p><strong>Nice to Have:</strong></p> <ul> <li>Experience troubleshooting complex issues with customer production deployments.</li> <li>Experience with observability tools and automating support workflows.</li> <li>Understanding of DevOps tools and practices.</li> </ul> <h2 id="benefits">Benefits</h2> <ul> <li>A remote-first, international team working on cutting-edge AI infrastructure.</li> <li>A competitive salary with additional perks.</li> <li>Flexible working hours and async-friendly culture.</li> <li>Regular team offsites and virtual events.</li> <li>Hardware budget – choose your own setup.</li> </ul> <p>Recruiting Agencies and Headhunters, please only via 𝗵𝘁𝘁𝗽𝘀://𝗵𝗶𝗿𝗲𝗯𝘂𝗳𝗳𝗲𝗿.𝗰𝗼𝗺?ref=qdrant</p>