--- title: 'Senior Support Engineer (EMEA) at Qdrant' canonical: 'https://feeny.ai/job/senior-support-engineer-emea-qdrant-emea-2ps7gpzw324b' type: 'job' last_seen: '2026-10-18' --- # Senior Support Engineer (EMEA) at Qdrant - **Company:** Qdrant - **Location:** EMEA - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-09-22 - **Last confirmed live:** 2026-10-18 - **Apply:** https://jobs.ashbyhq.com/qdrant.tech/263c8770-3f5b-4a87-8b1f-a125f784c581 ## Job description Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. We're hiring a Senior Support Engineer to help customers run Qdrant's vector search engine reliably in production. You'll work Kubernetes-heavy, cloud-native environments every day, investigate hard technical issues, and turn what you learn into tools and workflows that make the whole support function faster. This is a chance to help shape a growing support team at an early-stage AI infrastructure company. ## What You'll Own - Provide direct technical support to customers running Qdrant, mostly asynchronous rather than face to face. - Troubleshoot production issues across Kubernetes, cloud infrastructure, networking, storage, and the database layer. - Lead incident investigations and turn recurring problems into documented diagnostics and repeatable fixes, using AI-assisted tooling to speed up triage where it helps. - Partner with engineering and platform teams to resolve customer issues and feed learnings back into the product. - Build and maintain internal tools that make support workflows faster and more observable. - Write and maintain clear documentation for both customers and the internal team. - Lead by example through strong technical work, initiative, and collaboration with stakeholders across the company. ## Who You Are - 5 or more years in a customer-facing support or infrastructure role, ideally supporting production Kubernetes environments. - Strong, hands-on Kubernetes skills. A Certified Kubernetes Administrator (CKA) credential is a plus. - Proficient in Python or a similar language for scripting and automation. - Experience with Kafka or similar distributed systems. - Comfortable working in AWS, GCP, or Azure. - Solid understanding of database internals and how they behave under production load. - A proactive, ownership-driven mindset. You dig into ambiguous problems without waiting to be asked. - Clear communicator who can translate between technical and non-technical audiences. ## Nice to Have - Familiarity with vector search or vector database technologies. - Terraform and infrastructure-as-code experience. Security background is a plus. - Experience with observability tools (for example, Prometheus or Grafana) and automating support workflows. ## Why join us - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! For information on how we handle your personal data, please refer to our [Recruitment Privacy Policy](https://qdrant.tech/legal/recruitment-privacy-policy/) ## #LI-REMOTE ## About Qdrant ## Company Overview - **One-liner**: Qdrant provides an open-source, high-performance vector search engine and database built in Rust, powering AI retrieval applications. - **Entity Type**: Private (Series B) - **Headquarters**: Berlin, Germany - **Founded**: 2021 - **Founders**: Andrey Vasnetsov (CTO) and Andre Zayarni (CEO) ## Core Business - **Primary industry/industries**: Vector database software, AI infrastructure, search and retrieval. - **Target customers**: B2B – enterprises, AI/ML teams, developers building semantic search, RAG, recommendation systems, anomaly detection, and AI agents. - **Mission or purpose statement**: "Powering the next generation of AI applications with advanced and high-performant vector similarity search technology." ## Products & Services - **Qdrant Cloud**: Fully managed SaaS on AWS, GCP, or Azure with auto-sharding, high availability, and native cloud inference for embeddings. - **Qdrant Hybrid Cloud**: Bring your own Kubernetes with decoupled control and data planes for flexible on-prem or multi-cloud deployments. - **Qdrant Private Cloud**: Air-gapped, compliant deployments for maximum data control. - **Qdrant Edge (Beta)**: Lightweight, low-latency vector search for edge devices. - **Core Engine**: Open-source Rust-based vector database with SIMD, custom Gridstore engine, real-time indexing, memory-efficient storage (quantization up to 64x reduction), and built-in support for dense/sparse vectors, hybrid search, multivector, and reranking (ColBERT, MMR). - **Developer Tools**: REST and gRPC APIs, official clients (Python, JavaScript), built-in Web UI for visualization, and integration with Prometheus/Grafana/Datadog. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed. - **Key Metric**: Total funding of **$88.3M** across five rounds (Pre-Seed, Seed, Series A, Series B, and a venture round). Annual revenue estimated at **$1.0M**. - **Notable Investors/Partners**: Lead investors include AVP (Series B), Spark Capital (Series A), Unusual Ventures (Seed), 42CAP (Pre-Seed). Other investors not fully named. - **Growth Signals**: 60% headcount growth year-over-year (88 employees as of mid-2025); 30k+ GitHub stars; 60k+ community members; 30 active job postings; expansion to 23 countries; SOC2 & HIPAA compliant. ## Competitive Advantages - **Pure Rust implementation** with SIMD and a custom storage engine (Gridstore) – no wrappers, no bolt-ons, delivering high performance and low latency. - **Real-time indexing** – new vectors are searchable immediately without full index rebuilds. - **Memory-efficient storage** using asymmetric, scalar, and binary quantization (up to 64x memory reduction). - **Hybrid search** (dense + sparse) with built-in BM25, SPLADE++, miniCOIL, and ColBERT reranking. - **Filtering during HNSW traversal** – no pre/post-filtering, high recall under complex conditions. - **Enterprise-grade security** (RBAC, SSO/SAML/OIDC, multitenancy, private networking, air-gapped options). - **Flexible deployment** – cloud, hybrid, private, edge, on-prem. ## Strategic Focus - **Current priorities**: Scaling enterprise adoption of AI retrieval; deepening cloud platform capabilities (native inference, managed services); expanding edge and hybrid deployment options; improving developer experience with multivector and reranking features. - **Direction for growth**: Becoming the go-to vector database for production-grade AI applications, from RAG agents to recommendation systems. ## Why Work Here - **Culture highlights**: Open-source DNA with a strong engineering ethos; high-growth environment (60% YoY headcount); distributed team across 23 countries (US, Germany, Spain, France, India, UK, etc.). - **Remote/hybrid policy**: Hybrid model for Berlin HQ (some roles listed as hybrid); many positions are posted as EMEA or remote-friendly. - **Notable perks**: Work on cutting-edge AI infrastructure with Rust; contributing to a popular open-source project (30k+ GitHub stars); opportunities to shape a rapidly scaling product. - **Engineering culture**: Heavy emphasis on performance and first-principles optimization; small, focused teams with high ownership (88 employees); recent VP of Engineering search signals expansion in technical leadership. - **Active hiring**: 30 open positions across engineering, cloud infrastructure, FinOps, marketing, sales, and technical success. ## Sources 1. [Qdrant Website](https://qdrant.tech/) 2. [Qdrant Careers Page on Ashby](https://jobs.ashbyhq.com/qdrant.tech) 3. [Qdrant About Page](https://qdrant.tech/about-us/) 4. [Qdrant LinkedIn Company Page](https://www.linkedin.com/company/qdrant) 5. [Qdrant GitHub Repository](https://github.com/qdrant) ## Other roles at Qdrant - [Growth Marketing Manager (US)](https://feeny.ai/job/growth-marketing-manager-us-qdrant-united-states-akb4njcgf07m) — United States - [Marketing Designer](https://feeny.ai/job/marketing-designer-qdrant-spain-79qt8n1qfse4) — Spain - [Solutions Engineer (US)](https://feeny.ai/job/solutions-engineer-us-qdrant-united-states-akhs507c4h70) — United States - [Senior Solutions Engineer (APAC)](https://feeny.ai/job/senior-solutions-engineer-apac-qdrant-australia-z4e5n76tspv6) — Australia - [Senior Software Engineer Platform](https://feeny.ai/job/senior-software-engineer-platform-qdrant-germany-gmr6xqfpc3vx) — Germany - [Staff Software Engineer Platform](https://feeny.ai/job/staff-software-engineer-platform-qdrant-emea-hd8g5a1g6th2) — EMEA - [Business Development Representative (EMEA)](https://feeny.ai/job/business-development-representative-emea-qdrant-germany-fkjzrjfsta6a) — Germany - [Security Engineer](https://feeny.ai/job/security-engineer-qdrant-germany-0tk7ge9k250x) — Germany