
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).
🔥 7 minutes ago
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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).
• Build backend services and APIs that power Qdrant Cloud • Develop features related to cluster provisioning, scaling, upgrades, backups, and authentication • Collaborate with engineers across multiple teams to deliver customer-facing functionality • Participate in architecture discussions, code reviews, and technical design • Investigate production issues and contribute to long-term improvements • Continuously improve the reliability, scalability, and usability of our cloud platform
• 2+ years of professional software engineering experience • Professional experience developing backend services and tooling using Go and/or Python • Experience building and maintaining production software • Solid working knowledge of Kubernetes in production environments • Good understanding of APIs, networking fundamentals, and distributed systems concepts • Experience working with cloud-native technologies and containers • Strong ownership mindset and willingness to learn • Good written and verbal communication skills in English.
• 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 • Comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.
Apply Now🔥 11 hours ago
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