Field Engineer

Qdrant; New York (NY); Remote; Confidential; Full time

Job summary

An innovative technology company is seeking a skilled Field Engineer to enhance customer onboarding and technical integration. In this role, you will work closely with clients to ensure seamless deployment of cutting-edge vector database technologies. You will conduct technical demos, assist with infrastructure design, and troubleshoot challenges, all while collaborating with internal teams. This position offers the flexibility of a fully remote setup, a competitive salary, and a comprehensive benefits package. Join a dynamic environment where you can help shape the future of AI-driven solutions and vector databases.

Benefits

Competitive salary

Comprehensive benefits package

Full remote position

Collaborative work environment

Career growth opportunities

Qualifications

• 3+ years in a technical implementation or systems engineering role.
• Hands-on experience with cloud platforms and container orchestration tools.

Responsibilities

• Guide clients through deployment and configuration of Qdrant technologies.
• Conduct hands-on technical demonstrations to showcase capabilities.

Skills

Cloud Platforms (AWS, GCP, Azure)

Container Orchestration (Docker, Kubernetes)

Networking

Security

Distributed Systems

Python

GoLang

Database Technologies (Elasticsearch, Solr)

Job description

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.

We are looking for candidates in the ~US east time zone.