Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data.
As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI.
We are looking for a Software Engineer to join our Regions & Clusters team. This team owns the lifecycle of Qdrant Cloud clusters, including provisioning, scaling, upgrades, backups, authentication, and the customer-facing systems used to operate clusters across multiple cloud providers and regions.
You will work closely with Product, Platform, Resilience, and other engineering teams to build features that directly impact our customers and improve the scalability and reliability of Qdrant Cloud.
What you will ownBuild backend services and APIs that power Qdrant Cloud
Develop features related to cluster provisioning, scaling, upgrades, backups, and authentication
Collaborate with engineers across multiple teams to deliver customer-facing functionality
Participate in architecture discussions, code reviews, and technical design
Investigate production issues and contribute to long-term improvements
Continuously improve the reliability, scalability, and usability of our cloud platform
2+ years of professional software engineering experience
Professional experience developing backend services and tooling using Go and/or Python
Experience building and maintaining production software
Solid working knowledge of Kubernetes in production environments
Good understanding of APIs, networking fundamentals, and distributed systems concepts
Experience working with cloud-native technologies and containers
Strong ownership mindset and willingness to learn
Good written and verbal communication skills in English
Experience building Kubernetes operators/controllers
Experience with AWS, GCP, or Azure
Experience with databases or distributed systems
Familiarity with observability tooling such as Prometheus, Grafana, or OpenTelemetry
Open source contributions
We are looking for engineers with strong fundamentals and growth potential. You do not need to be an expert in Kubernetes or cloud infrastructure from day one, but you should be excited about learning how large-scale cloud platforms operate and evolve.
Why join usA remote-first, international team working on cutting-edge AI infrastructure.
A competitive salary with additional perks.
Flexible working hours and async-friendly culture.
High ownership and real impact.
Open-source, engineering-driven culture.
Choose your own laptop equipment.
For US-based candidates, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.
Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist.
For information on how we handle your personal data, please refer to our Recruitment Privacy Policy
