[Hiring] Senior Support Engineer @Qdrant

Role Description

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.

• 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.

Qualifications

• 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 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.

Requirements

• 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.

Benefits

• 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, a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.