# Senior Support Engineer (EMEA) at Qdrant.Tech

> Provide hands-on technical support for customers running Qdrant in production, troubleshooting Kubernetes, cloud, and database issues.

- Company: Qdrant.Tech (qdrant.tech)
- Location: Remote - EMEA (remote)
- Places: Remote
- Posted: 2026-09-22
- Level: Senior
- Team: Support
- Work mode: Remote
- Apply: https://jobs.ashbyhq.com/qdrant.tech/263c8770-3f5b-4a87-8b1f-a125f784c581
- Page: https://ye.saranatour.dev/jobs/senior-support-engineer-emea-qdrant-tech-kn7axj1afpqwcnxfxg0x71fhth8hdx52

## The posting

Senior Support Engineer (EMEA)
Qdrant.Tech · Remote - EMEA

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.

## **The Team and Your Impact**

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 Will 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, denta