Senior Support Engineer (EMEA) Qdrant · Berlin · Series B →

Venture Post; Berlin; Hybrid; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Remote-first

Competitive salary

Flexible hours

Open-source culture

Zusammenfassung

Qdrant, a remote-first vector search platform, seeks a Senior Support Engineer to ensure reliable production operation of its engine. You will work in Kubernetes-heavy, cloud-native environments, investigate complex issues, and develop tools to accelerate the support function.

Ideal candidates have 5+ years in customer-facing support or infra roles, strong Kubernetes skills (CKA a plus), and Python scripting experience. Knowledge of Kafka and cloud platforms is beneficial.

Qualifikationen

• 5+ years in a customer-facing support or infrastructure role, ideally supporting production Kubernetes environments.
• CKA credential is a plus.
• Proficient in Python or similar scripting language; experience with Kafka or distributed messaging.

Aufgaben

• Provide direct, Slack-first technical support to customers running Qdrant, mostly asynchronous.
• Troubleshoot production issues across Kubernetes, cloud infrastructure, networking, storage, and database layers.
• Lead incident investigations and turn recurring problems into diagnostics and repeatable fixes with AI-assisted tooling 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 speed up support workflows and write clear documentation.

Kenntnisse

Kubernetes

Python scripting

Distributed systems

Cloud platforms

Troubleshooting

Communication

Tools

Prometheus

Grafana

Kafka

CI/CD tooling

Linux

Jobbeschreibung

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, 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.

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 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 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.

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