Senior Support Engineer (EMEA)

Qdrant

1d•Remote

About The Position

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.

Requirements

5 or more years in a customer-facing support or infrastructure role, ideally supporting production Kubernetes environments.
Strong, hands-on Kubernetes skills.
Proficient in Python or a similar language for scripting and automation.
Experience with Kafka or similar distributed messaging 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 Haves

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.

Responsibilities

Provide direct, Slack-first 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.