
51 - 200 employees
Founded 2021
đ€ Artificial Intelligence
âïž SaaS
Artificial Intelligence âą SaaS
Qdrant is a company that builds a highâperformance vector database and managed cloud services for similarity search and AI retrieval. It offers an openâsource, Rustâbased vector engine (Qdrant Vector Database) plus managed offerings (Qdrant Cloud, Hybrid Cloud, Private Cloud, Edge, and Enterprise solutions), optimized for realâtime indexing, hybrid dense+sparse search, multivector retrieval, and largeâscale production deployments. Qdrant is positioned for builders of RAG, semantic search, recommendation systems, AI agents, and anomaly detection, and emphasizes developer APIs, enterprise security/compliance (SOC2, HIPAA options), and deployment flexibility (onâprem, cloud, hybrid, edge).
đ„ 2 minutes ago
đ France, Netherlands, +2 more countries â Remote
â° Full Time
đ Senior
đ Support Engineer
đ» Ghost score 10%
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51 - 200 employees
Founded 2021
đ€ Artificial Intelligence
âïž SaaS
Artificial Intelligence âą SaaS
Qdrant is a company that builds a highâperformance vector database and managed cloud services for similarity search and AI retrieval. It offers an openâsource, Rustâbased vector engine (Qdrant Vector Database) plus managed offerings (Qdrant Cloud, Hybrid Cloud, Private Cloud, Edge, and Enterprise solutions), optimized for realâtime indexing, hybrid dense+sparse search, multivector retrieval, and largeâscale production deployments. Qdrant is positioned for builders of RAG, semantic search, recommendation systems, AI agents, and anomaly detection, and emphasizes developer APIs, enterprise security/compliance (SOC2, HIPAA options), and deployment flexibility (onâprem, cloud, hybrid, edge).
âą Provide direct, Slack-first technical support to customers running Qdrant, mostly asynchronously âą Troubleshoot production issues across Kubernetes, cloud infrastructure, networking, storage, and the database layer âą Lead incident investigations and turn recurring problems into documented diagnostics and repeatable fixes âą Use AI-assisted tooling to speed up triage where helpful âą Partner with engineering and platform teams to resolve customer issues and feed learnings back into the product âą Build and maintain internal tools that make support workflows faster and more observable âą Write and maintain documentation for customers and the internal team âą Lead by example through strong technical work, initiative, and collaboration with stakeholders across the company
âą 5 or more years in a customer-facing support or infrastructure role, ideally supporting production Kubernetes environments âą Strong, hands-on Kubernetes skills âą Proficient in Python or a similar language for scripting and automation âą Experience with Kafka or similar distributed messaging systems âą Comfortable working in AWS, GCP, or Azure âą Solid understanding of database internals and how they behave under production load âą A Certified Kubernetes Administrator (CKA) credential is a plus âą Familiarity with vector search or vector database technologies âą Terraform and infrastructure-as-code experience âą Security background is a plus âą Experience with observability tools such as Prometheus or Grafana âą Experience automating support workflows âą Clear communication with technical and non-technical audiences
âą A competitive salary with additional perks âą Flexible working hours and async-friendly culture âą Choose your own laptop equipment âą For US-based full-time employees: 401k match âą For US-based full-time employees: health, dental, and vision insurance âą For US-based full-time employees: flexible PTO policy
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