
51 - 200 employees
Founded 2021
đ¤ Artificial Intelligence
âď¸ SaaS
Artificial Intelligence ⢠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).
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First seen by Remote Rocketship 2 minutes ago

51 - 200 employees
Founded 2021
đ¤ Artificial Intelligence
âď¸ SaaS
Artificial Intelligence ⢠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).
⢠Design, build and operate core control-plane services in Go ⢠Work on platform-wide security, audit, authentication and authorization plumbing ⢠Build sign-in and access capabilities for people and AI agents using API, CLI and MCP, including OAuth flows ⢠Improve developer experience and delivery through CI/CD, testing and pull-request safety checks, including for AI-written code ⢠Strengthen observability through monitoring, logging, alerting and metrics ⢠Reduce operational load through engineering ⢠Participate in on-call for platform services, including incident response and root cause analysis ⢠Collaborate with the Cluster Lifecycle, Operations, and Billing & IAM teams
⢠5+ years of software engineering experience, with a good part of it on platform, backend or infrastructure ⢠Strong proficiency in Go ⢠Experience designing and running APIs and backend services in production (gRPC or REST) ⢠Solid experience running services on Kubernetes in production ⢠Good working knowledge of authentication and authorization (OAuth2/OIDC, tokens, API keys) and secure-by-default design ⢠Hands-on experience with at least one major cloud provider (AWS, GCP or Azure) ⢠Experience with CI/CD and automated testing ⢠Comfortable participating in on-call rotations and handling production incidents ⢠Experience building internal platforms or developer tooling used by other engineering teams ⢠Experience with infrastructure-as-code (Terraform or similar) ⢠Background in SaaS, database or systems-level product companies ⢠Experience with Prometheus, Grafana, OpenTelemetry or similar tooling
⢠Competitive salary with additional perks ⢠Flexible working hours ⢠Async-friendly culture ⢠Choose your own laptop equipment ⢠For US-based full-time employees: 401k match ⢠For US-based full-time employees: health, dental, and vision insurance ⢠For US-based full-time employees: flexible PTO policy
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