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.
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