Field Engineer @ Qdrant | Jobright.ai
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Qdrant · 2 days ago

Field Engineer

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Artificial Intelligence (AI)Big Data

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Responsibilities

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.
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.
Conduct hands-on technical demonstrations to showcase the capabilities of Qdrant.
Build and present proof-of-concept implementations that align with customer requirements.
Diagnose and resolve technical challenges during the integration and deployment process.
Serve as an escalation point for complex customer issues requiring engineering input.
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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Cloud PlatformsContainer OrchestrationDistributed SystemsPythonGoLangVector DatabasesElasticsearchSolrAI ApplicationsMachine Learning

Required

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

Company

Qdrant

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Qdrant is an open-source vector search engine and database for next-generation AI applications.

Funding

Current Stage
Growth Stage
Total Funding
$37.79M
Key Investors
Spark CapitalUnusual Ventures42CAP
2024-01-23Series A· $28M
2023-04-19Seed· $7.5M
2022-01-12Pre Seed· $2.29M

Leadership Team

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Andre Zayarni
CEO
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Company data provided by crunchbase
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