Key Skills

Job Description

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. Come build with us! For information on how we handle your personal data, please refer to our Recruitment Privacy Policy

Core Responsibilities

Provide direct, Slack-first technical support to customers running Qdrant while troubleshooting production issues across Kubernetes and cloud infrastructure. Lead incident investigations and develop internal tools and documentation to improve support workflows and product reliability.

Requirements

Requires 5 or more years of experience in a customer-facing support or infrastructure role with strong hands-on Kubernetes skills. Proficiency in Python, experience with distributed messaging systems like Kafka, and familiarity with cloud platforms are essential.

Benefits

• Competitive salary
• Flexible working hours
• Async-friendly culture
• Laptop equipment
• 401k match
• Health insurance
• Dental insurance
• Vision insurance
• Flexible PTO policy