Senior Support Engineer (EMEA)

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QdrantAI infrastructure
EMEAFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5 or more years in a customer-facing support or infrastructure role
Required Skills
AWSPythonGCPKafkaKubernetesAzureGrafanaPrometheusTerraform

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.
  • Clear communicator who can translate between technical and non-technical audiences.
  • Certified Kubernetes Administrator (CKA) credential is a plus.
  • Familiarity with vector search or vector database technologies.
  • Terraform and infrastructure-as-code experience.
  • Experience with observability tools such as Prometheus or Grafana.

Responsibilities

  • Provide direct, Slack-first technical support to customers running Qdrant, mostly asynchronous.
  • 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.
  • 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.
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