Location: India (Applications from outside India will be automatically discarded)
Type: Full-Time – Remote
Qdrant is an Open-Source Vector Database: https://github.com/qdrant/qdrant
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.
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