Senior Customer Support Engineer (India-Based Candidates Only)
Location : India (Applications from outside India will be automatically discarded) Type : Full-Time – Remote Qdrant is an Open-Source Vector Database: We help businesses harness modern AI technologies by providing state-of-the-art neural search capabilities at scale. Our flagship product is the open-source Qdrant vector database, and we also offer a managed cloud solution for enterprise use. We’re looking for a hands-on Customer Support Engineer who is eager to work closely with customers and solve complex technical issues. This is a high-impact opportunity for someone who leads by example and is excited to help shape the future of a growing support function in a fast-paced AI infrastructure startup. Tasks Provide direct technical support to our customers, addressing issues related to our vector database and SaaS platform. Investigate and troubleshoot complex issues involving infrastructure, cloud, and database layers. Collaborate with engineering and platform teams to resolve customer problems and influence product improvements. Build and improve internal tooling for support workflows and observability. Participate in the on-call rotation to ensure timely response to critical issues. Create and maintain clear, useful internal and customer-facing documentation. Lead by example through excellent technical work, initiative, and collaboration with stakeholders. Requirements Must Have: Strong experience in a customer-facing support or infrastructure role . Proficiency in Python or similar language Good understanding of Kubernetes and managing workloads. Experience with cloud environments (AWS, GCP, or Azure). Excellent communication and collaboration skills across technical and non-technical audiences. Familiarity with vector databases or similar search technologies. A proactive, problem-solving mindset and willingness to take ownership. Based in the EMEA region (mandatory). Nice to Have: Experience troubleshooting complex issues with customer production deployments. Experience with observability tools and automating support workflows. Understanding of DevOps tools and practices. Benefits A remote-first, international team working on cutting-edge AI infrastructure. A competitive salary with additional perks. Flexible working hours and async-friendly culture. Regular team offsites and virtual events. Hardware budget – choose your own setup. Recruiting Agencies and Headhunters, please only via . ?ref=qdrant