Software Engineer - Cloud Platform Infrastructure (EMEA)

Job description

Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom , we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. We are looking for a Software Engineer to join our Regions & Clusters team . This team owns the lifecycle of Qdrant Cloud clusters, including provisioning, scaling, upgrades, backups, authentication, and the customer-facing systems used to operate clusters across multiple cloud providers and regions. You will work closely with Product, Platform, Resilience, and other engineering teams to build features that directly impact our customers and improve the scalability and reliability of Qdrant Cloud. What you will own 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 Who you are 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 Nice to have Experience building Kubernetes operators/controllers Experience with AWS, GCP, or Azure Experience with databases or di…