Field Engineer
Field Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
About Qdrant
Qdrant is a cuttingedge technology company specializing in opensource vector databases designed for nextgeneration AI applications. Our platform enables highperformance vector similarity search unlocking deep insights from unstructured data. By offering both opensource software and managed cloud solutions we empower developers and enterprises to build scalable AIdriven 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 Qdrants 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 Qdrants technologies on various cloud and onpremise 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 handson technical demonstrations to showcase the capabilities of Qdrant.
- Build and present proofofconcept 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 presales technical guidance when necessary.
Requirements
Experience:
- 3 years in a technical implementation systems engineering or similar role.
Technical Skills:
- Handson 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 opensource 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 cuttingedge opensource 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 AIdriven solutions.
Employment Type
Full Time
