Senior Site Reliability Engineer, Qdrant
SRE
Relocation option
Open-source vector search engine for AI
Job no longer available
Open-source vector search engine for AI
21-100 employees
Job no longer available
Relocation option
21-100 employees
Company mission
Qdrant's mission is to empower businesses to build and deploy semantic neural search on your data in minutes.
Role
Who you are
- Site Reliability Engineering Focus: Proven experience in a Site Reliability Engineering or similar role, with a strong emphasis on database systems
- Programming Languages: Proficiency in Python and Go; experience with other languages is a plus
- Kubernetes Skills: Proven hands-on experience managing and optimizing Kubernetes clusters, particularly in the context of database services
- Operator Frameworks: Strong background in developing and maintaining Kubernetes Operators, with a focus on database automation
- Infrastructure as Code (IaC): Solid understanding and experience with Terraform, Ansible, or Pulumi, specifically applied to database infrastructure
- Multi-Cloud Expertise: Experience working with multi-cloud environments (AWS, GCP, Azure), ensuring seamless database operations across platforms
- Container Orchestration: Deep understanding of containerization concepts and orchestration tools (Docker, Kubernetes) within the DBaaS context
- SLOs and SLAs: Demonstrated experience in defining, implementing, and meeting Service Level Objectives and Agreements, particularly in the context of database reliability
- Problem Solving: Strong analytical and problem-solving skills, with a keen attention to detail
- Communication Skills: Excellent communication and collaboration skills, with the ability to convey complex technical concepts to diverse audiences
What the job involves
- Among the technical challenges, we are facing is the implementation of our cloud infrastructure to serve our engine as a scalable cloud API solution
- We are looking for a Site Reliability Engineer to ensure stable and secure operability of our managed solutions
- Infrastructure Automation: Design, implement, and manage infrastructure code using Terraform, focusing on the reliability and scalability of our Database as a Service (DBaaS) platform
- Programming Mastery: Utilize Python and Go to improve our service quality and develop automation scripts and tools for monitoring, deployment, and maintenance tasks specific to database operations
- Kubernetes Expertise: Demonstrate a deep understanding of Kubernetes, ensuring optimal performance, scalability, and reliability for our DBaaS platform
- Operator Frameworks: Develop and maintain Kubernetes Operators for automating database platform operations, enhancing the reliability of our services
- Multi-Cloud Management: Architect and maintain infrastructure in multi-cloud environments (AWS, GCP, Azure) to provide a resilient and available DBaaS solution
- Monitoring and Incident Response: Implement effective monitoring solutions tailored for database services and collaborate on incident response procedures to maintain the high availability of our systems
- Service Level Objectives (SLOs) and Agreements (SLAs): Define, measure, and maintain SLOs and SLAs specific to database performance and reliability, actively monitoring and optimizing systems to meet these targets
Our take
In many cases, documents may have too few keywords, or queries might be too large for the usual full-text search to provide the desired result. In such cases, the search either finds no intersections or returns a lot of irrelevant results. Qdrant is setting out to solve this problem with a neural network-based semantic search which can be used stand-alone or in conjunction with traditional search.
Qdrant utilizes applied AI and metric learning to provide users with an open-source neural search engine. This engine has proven popular with businesses looking to turn their unstructured data into an asset. The possible applications of this technology greatly vary, from product recommendations in e-commerce to image recognition and analysis of anomalies.
The trust and capital that leading investors have placed in Qdrant will allow it to develop and scale its technology further, with a focus on enterprise solutions and expanding its business team. This will be invaluable to the company as it continues to innovate and increase its consumer base.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Mar 2026
$50m
SERIES B
Jan 2024
$29.7m
SERIES A
Total funding: $90.7m
Company benefits
- Working in a passionate international team
- Flexible working hours
- Company events
- Choose any hardware
- Remote/home office possible
- Relocation and visa support (EU Blue Card)
- A collaborative and supportive work environment with opportunities for growth and advancement
- The chance to make a significant impact on an innovative technology with the potential to reshape industries
Company HQ
Prenzlauer Berg, Berlin, BE
Leadership
Andre Zayarni
(CEO & Co-Founder)Previously created JobBot-me, and served as CPO and CTO of MoBerries GmbH.
Andrey Vasnetsov
(CTO & Co-Founder)Previously worked as a Machine Learning Engineer as Tinkoff.ru, and was Lead Data Scientist at MoBerries.
Share this job
View 2 more jobs at Qdrant