
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).
🕒 July 28
🌐 Germany, France, +2 more countries – Remote
⏰ Full Time
🟠 Senior
🏗️ Platform Engineer
👻 Ghost score 33%
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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 and evolve core platform services and internal APIs consumed by multiple teams • Drive architectural initiatives such as gRPC migration, eventing/pub-sub foundations, and platform refactors • Own and improve control-plane and cluster-api components • Build platform abstractions that reduce operational and cognitive load for other teams • Write production-grade Go code for platform services and internal tooling • Collaborate closely with Regions & Clusters, Resilience, and Features teams to enable delivery through platform primitives • Improve platform scalability, reliability, and developer experience through thoughtful design • Support production systems and incident response when needed, with a focus on long-term fixes
• 5+ years of experience as a software engineer working on platform, infrastructure, or distributed systems • Strong proficiency in Go and Python, or deep expertise in one with willingness to work regularly with both • Solid experience with Kubernetes and cloud-native architectures • Strong understanding of distributed systems and API design • Experience building and operating production systems used by other engineers or teams • Comfortable working cross-team and driving technical alignment • Ownership mindset and clear communication skills • Nice to have: experience with gRPC, event-driven architectures, or control-plane systems • Nice to have: familiarity with Kubernetes operators or cluster-level abstractions • Nice to have: background in SaaS, database, or systems-level product companies • Nice to have: experience with observability tooling (Prometheus, Grafana, OpenTelemetry) • Nice to have: contributions to open-source projects
• A competitive salary with additional perks • Flexible working hours and 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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