
51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS
Qdrant is a company that builds a high‑performance vector database and managed cloud services for similarity search and AI retrieval. It offers an open‑source, Rust‑based vector engine (Qdrant Vector Database) plus managed offerings (Qdrant Cloud, Hybrid Cloud, Private Cloud, Edge, and Enterprise solutions), optimized for real‑time indexing, hybrid dense+sparse search, multivector retrieval, and large‑scale 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 (on‑prem, cloud, hybrid, edge).
🔥 0 minutes ago
🌐 France, Netherlands, +2 more countries – Remote
⏰ Full Time
🟠 Senior
☁️ Cloud Engineer
👻 Ghost score 10%
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51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS
Qdrant is a company that builds a high‑performance vector database and managed cloud services for similarity search and AI retrieval. It offers an open‑source, Rust‑based vector engine (Qdrant Vector Database) plus managed offerings (Qdrant Cloud, Hybrid Cloud, Private Cloud, Edge, and Enterprise solutions), optimized for real‑time indexing, hybrid dense+sparse search, multivector retrieval, and large‑scale 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 (on‑prem, cloud, hybrid, edge).
• Design, implement, and operate core cloud platform components • Build and maintain Kubernetes clusters and develop custom Kubernetes operators • Write production-grade Go and Python code for platform services and automation • Improve reliability, scalability, and cost efficiency of cloud infrastructure across AWS, GCP, and Azure • Strengthen observability through monitoring, logging, alerting, and metrics • Automate operational workflows and platform integrations • Collaborate closely with Platform, Regions & Clusters, and Features teams • Participate in incident response, root cause analysis, and long-term system hardening • Continuously reduce KTLO and operational overhead through engineering improvements
• 5–7+ years of experience in platform engineering, infrastructure, or SRE-adjacent roles • Strong proficiency in Go and Python, or deep expertise in one with willingness to work regularly with both • Solid experience running Kubernetes in production • Strong understanding of distributed systems and cloud-native architectures • Hands-on experience with major cloud providers (AWS, GCP, or Azure) • Experience with CI/CD, infrastructure-as-code, and automation practices • Comfortable participating in on-call rotations and managing production incidents • Ownership mindset and clear communication skills • Experience building Kubernetes operators or control-plane components • Background in SaaS, database, or systems-level product companies • Experience with Prometheus, Grafana, OpenTelemetry, or similar tooling • Familiarity with networking, load balancing, or service meshes • Contributions to open-source projects
• A competitive salary with additional perks • Flexible working hours • Async-friendly culture • Choose your own laptop equipment • For US-based candidates: 401k match • For US-based candidates: health, dental, and vision insurance • For US-based candidates: flexible PTO policy
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