Senior Software Engineer
Qdrant
Senior Software Engineer
Qdrant
Vector database and similarity search API
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.
As a Senior Software Engineer on the Qdrant Cloud Platform team, you will build the shared foundations that every other Cloud team builds on: core control-plane services, authentication, security, developer tooling and the paths into Qdrant Cloud for both people and AI agents.
Qdrant Cloud is growing fast. More customers, more regions and more teams shipping features puts more weight on the platform underneath. The role is a mix of running and hardening existing services and building new ones.
This role is for engineers who like building for other engineers, care about security and good defaults, and want to see their work speed up a whole engineering org.
Design, build and operate core control-plane services in Go.
Work on platform-wide concerns other teams depend on: security, audit, and the authentication and authorization plumbing.
Build how people and AI agents sign in to and access Qdrant Cloud (API, CLI, MCP), including OAuth flows.
Improve developer experience and delivery: CI/CD, testing, and safety checks on pull requests, including for AI-written code.
Strengthen observability of the platform through monitoring, logging, alerting and metrics.
Reduce operational load through engineering, so the team spends less time firefighting and more time building.
Take part in on-call for platform services, including incident response and root cause analysis.
Work closely with the Cluster Lifecycle, Operations, and Billing & IAM teams, who depend on the platform every day.
5+ years of software engineering experience, with a good part of it on platform, backend or infrastructure.
Strong proficiency in Go.
Experience designing and running APIs and backend services in production (gRPC or REST).
Solid experience running services on Kubernetes in production.
Good working knowledge of authentication and authorization (OAuth2/OIDC, tokens, API keys) and secure-by-default design.
Hands-on experience with at least one major cloud provider (AWS, GCP or Azure).
Experience with CI/CD and automated testing.
Comfortable participating in on-call rotations and handling production incidents.
Ownership mindset and clear communication skills.
Experience building internal platforms or developer tooling used by other engineering teams.
Experience with infrastructure-as-code (Terraform or similar).
Background in SaaS, database or systems-level product companies.
Experience with Prometheus, Grafana, OpenTelemetry or similar tooling.
A 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 full-time employees, 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.
Come build with us!
Qdrant provides a vector database and similarity search engine delivered as an API service. It stores and searches high-dimensional vectors to help engineers build AI-powered features like image matching, duplicate detection, and text-based search or recommendations. The product runs in Rust, is cloud-native, and scales horizontally to handle growing data and traffic. Its main differentiator is offering a scalable, API-accessible vector search platform that developers can integrate into their systems, rather than building a search or matching solution from scratch. Qdrant’s goal is to help businesses deploy efficient, scalable vector similarity and search capabilities to power AI applications.
Explore more opportunities at Qdrant