Key skills
Customer support experiencePython proficiencyKubernetes knowledgeCloud environments experienceVector databases familiarityDevOps understandingObservability tools experienceCommunication skillsProblem-solving mindsetCollaboration skillsPythonAIVector DatabaseQdrantAWSAzureGCPKubernetesSaaSCommunicationCollaboration
About this role
Qdrant is an Open-Source Vector Database that helps businesses harness modern AI technologies. They are seeking a hands-on Senior Customer Support Engineer to provide technical support, troubleshoot complex issues, and collaborate with engineering teams to enhance their product offerings.
Responsibilities:
- 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:
- 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)
- Experience troubleshooting complex issues with customer production deployments
- Experience with observability tools and automating support workflows
- Understanding of DevOps tools and practices