Field Engineer

About Qdrant

Qdrant is a cutting-edge technology company specializing in open-source vector databases designed for next-generation AI applications. Our platform enables high-performance vector similarity search, unlocking deep insights from unstructured data. By offering both open-source software and managed cloud solutions, we empower developers and enterprises to build scalable, AI-driven search and recommendation systems with ease.

Role Overview

We are looking for a skilled Field Engineer to join our engineering team. This role focuses on onboarding customers from an infrastructure standpoint and delivering technical demos when needed. As a Field Engineer, you will work closely with clients and internal teams to ensure seamless deployment, integration, and utilization of Qdrant’s technologies. You will play a crucial role in bridging the gap between technical implementation and client success.

Tasks

Customer Onboarding:

• Guide clients through the deployment and configuration of Qdrant’s technologies on various cloud and on-premise infrastructures.
• Support customers in setting up scalable and secure environments tailored to their use cases.
  
  
  

Infrastructure Expertise:

• Assist with infrastructure design and optimization to ensure high availability, performance, and resilience of Qdrant solutions.
• Provide support for containerization, orchestration (e.g., Kubernetes), and cloud integrations.
  
  
  

Technical Demos & Proof of Concepts (PoCs):

• Conduct hands-on technical demonstrations to showcase the capabilities of Qdrant.
• Build and present proof-of-concept implementations that align with customer requirements.
  
  
  

Troubleshooting & Support:

• Diagnose and resolve technical challenges during the integration and deployment process.
• Serve as an escalation point for complex customer issues requiring engineering input.
  
  
  

Collaboration with Internal Teams:

• Work with the Cloud Engineering Team to incorporate feedback from customer interactions into product development.
• Collaborate with the sales team to provide pre-sales technical guidance when necessary.
  
  
  

Requirements

Experience:

• 3+ years in a technical implementation, systems engineering, or similar role.
  
  
  

Technical Skills:

• Hands-on experience with cloud platforms (AWS, GCP, Azure) and container orchestration tools (Docker, Kubernetes).
• Strong understanding of networking, security, and distributed systems.
• Proficiency in at least one programming language, preferably Python and / or GoLang.
• Familiarity with database technologies, including vector databases and search systems like Elasticsearch or Solr.
  
  
  

Preferred:

• Experience working with open-source technologies and contributing to them.
• Ability to script and automate infrastructure tasks.
  
  
  

Nice to Have:

• Background in AI or machine learning applications, such as recommendation systems or NLP.
  
  
  

Benefits

• Opportunity to work with cutting-edge open-source technology.
• Competitive salary and comprehensive benefits package.
• Full remote position, preferably in US east coast time zone.
• Collaborative and dynamic work environment.
• Opportunities for career growth and advancement.
• A chance to help shape the future of vector databases and AI-driven solutions.