
Artificial Intelligence • SaaS • Enterprise
Qdrant is a leading open-source vector database and similarity search engine designed for high-dimensional data, enabling advanced AI applications. It offers products such as Qdrant Cloud and hybrid deployment options, providing powerful capabilities for recommendation systems, data analysis, and anomaly detection. Built with a focus on performance and scalability, Qdrant is engineered in Rust to deliver speed and reliability, catering to the needs of developers and enterprises looking to integrate vector similarity searches into their applications.
11 - 50 employees
Founded 2021
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 Pre Seed Round on 2022-01
2 hours ago

Artificial Intelligence • SaaS • Enterprise
Qdrant is a leading open-source vector database and similarity search engine designed for high-dimensional data, enabling advanced AI applications. It offers products such as Qdrant Cloud and hybrid deployment options, providing powerful capabilities for recommendation systems, data analysis, and anomaly detection. Built with a focus on performance and scalability, Qdrant is engineered in Rust to deliver speed and reliability, catering to the needs of developers and enterprises looking to integrate vector similarity searches into their applications.
11 - 50 employees
Founded 2021
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 Pre Seed Round on 2022-01
• Design, implement, and operate our cloud-native platform architecture • Build and maintain Kubernetes clusters and develop custom Kubernetes operators • Write production-grade Go code for platform services and automation tooling • Optimize cloud infrastructure (AWS/GCP/Azure) for performance, cost, and reliability • Improve observability across the platform through monitoring, logging, and alerting • Automate workflows and integrations across systems and tools • Collaborate with engineering, operations, and data teams to understand and support their infrastructure needs • Contribute to incident response, root cause analysis, and system hardening • Continuously improve performance, developer experience, and reliability at scale
• 5–7+ years of experience in platform engineering, or SRE roles • Strong proficiency in Go and Python, or deep expertise in one and willingness to work with both • Deep experience developing Kubernetes operators • Solid grasp of distributed systems and microservices architecture • Hands-on experience with cloud providers (AWS, GCP, or Azure) • Understanding of CI/CD, infrastructure-as-code, and automation best practices • Comfort participating in on-call rotations and managing production incidents • A proactive, ownership-driven mindset and strong communication skills.
• Competitive salary and benefits package. • Flexible work hours and full remote setup. • Opportunity to work on cutting-edge technology in a fast-growing industry. • Professional development opportunities and career growth. • Collaborative and inclusive work environment.
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