Qdrant is an Open-Source Vector Search Database
We help businesses take advantage of AI with technologies like semantic
search, matching, and recommendations. We are developing vector search
technology that will allow everyone to use state-of-the-art neural network
encoders at the production scale. At the same time, we help companies to
integrate our technology into their infrastructure. Our flagship technology is
the open-source Vector Search Database: <https://github.com/qdrant/qdrant> (do
not forget to star 🌟 ;-)
Our Projects
Our main project is the Vector Search Databse Qdrant. It is open-source and
written in Rust 🦀. Check it out on GitHub. We develop both the project itself
as well as a managed Database as a Service solution. We volve towards SaaS
solutions to make vector search technology available to companies of all
sizes.
**Whom we are looking for**
Among the technical challenges, we are facing is the implementation of our own
cloud infrastructure to serve our engine as a scalable cloud API solution. We
are looking for an experienced cloud engineer to support us in building
scalable cloud API as a service solution. You would be responsible for
developing and maintaining our cloud service architecture, and building
integration solutions.
**Please note:** This role is fo US time tone based candidates only!
**Requirement**
* DevOps set of mind
* Experience in development in Go, Python, Rust (optional)
* Strong expertise in container technologies like Docker, Kubernetes (K8s)
* Following IaC best practices with Terraform, Helm
* Deployment and Continuous Integration Strategies
* Experience working with cloud platforms: AWS, GCP, etc.
* English communication skills
* US (EST - PT) time zone.
The ideal candidate for this position would also have:
* Experience in the development of scalable cloud solutions
* Interest in open-source projects
* Interest in Machine Learning
**Benefits**
* Working in a passionate international team
* Competitive salary plus perks
* Flexible working hours
* Company events
* Choose any hardware
* Remote/home office possible
Qdrant focuses on Open Source, Search, Machine Learning, and Artificial
Intelligence. Their company has offices in San Francisco, San Francisco Bay
Area, and Berlin. They have a small team that's between 11-50 employees. To
date, Qdrant has raised $9.7M of funding; their latest round was closed on
April 2023.
You can view their website at <https://qdrant.tech> or find them on
[Twitter](https://twitter.com/qdrant_engine) and
[LinkedIn](https://www.linkedin.com/company/qdrant).
