Berlin, Germany · Remote OK
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 l…
Skills: Go, Python, Kubernetes, Kubernetes Operators, AWS
Rüdersdorf bei Berlin, Brandenburg, Germany · Remote OK
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 l…
Skills: Go, Python, Kubernetes, Distributed Systems, API Design
San Francisco, California, United States · Remote OK
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 l…
Skills: Technical Account Management, Project Management, Vector Search, RAG, Agentic AI
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Design, implement, and operate a cloud-native platform architecture using Go and Kubernetes. Focus on optimizing cloud infrastructure for performance and reliability while improving observability and automation tooling.
Requires 5-7+ years of experience in platform engineering or SRE with deep expertise in Go, Python, and Kubernetes operators. Candidates must have hands-on experience with major cloud providers and a strong understanding of distributed systems.
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 – Platform and Reliability, you’ll be a key contributor to the design and operation of our cloud-native infrastructure. You will build and scale a reliable, cost-efficient platform that enables fast iteration and secure delivery of our vector database solutions to customers around the world.
This role sits at the intersection of software engineering and infrastructure. You’ll write production-grade Go code, manage Kubernetes at scale, and design internal tooling and systems that enable developer autonomy and operational excellence.
We are open to hiring at Senior level, depending on experience, scope of impact, and technical leadership. Staff-level engineers are expected to operate with broader ownership, drive technical direction, and influence multiple areas of the platform.
Design, implement, and operate our cloud-native platform architecture.
Build and maintain Kubernetes clusters and develop custom Kubernetes operators.
Write production-grade Go code for platform services and automation tooling.
Optimize cloud infrastructure (AWS/GCP/Azure) for performance, cost, and reliability.
Improve observability across the platform through monitoring, logging, and alerting.
Automate workflows and integrations across systems and tools.
Collaborate with engineering, operations, and data teams to understand and support their infrastructure needs.
Contribute to incident response, root cause analysis, and system hardening.
Continuously improve performance, developer experience, and reliability at scale.
5–7+ years of experience in platform engineering or SRE roles.
Strong proficiency in Go and Python, or deep expertise in one with willingness to work with both.
Deep experience developing Kubernetes operators.
Solid understanding of distributed systems and microservices architecture.
Hands-on experience with cloud providers (AWS, GCP, or Azure).
Experience with CI/CD, infrastructure-as-code, and automation best practices.
Comfort participating in on-call rotations and managing production incidents.
Proactive, ownership-driven mindset with strong communication skills.
Experience in a SaaS, database, or systems-level product company.
Experience with Prometheus, Grafana, and service meshes (e.g. Istio, Linkerd).
Familiarity with observability standards like OpenTelemetry.
Contributions to open-source projects.
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 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.
Composable high-performance vector search
Powering the next generation of AI applications with advanced and high-performant vector similarity search technology. Qdrant is an open-source vector search engine. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more. Make the most of your Unstructured Data!
Offices: Berlin, Berlin 10115, DE · New York, New York, US
Composable high-performance vector search
Powering the next generation of AI applications with advanced and high-performant vector similarity search technology. Qdrant is an open-source vector search engine. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more. Make the most of your Unstructured Data!
Offices: Berlin, Berlin 10115, DE · New York, New York, US
