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 Cloud Operations team, you will work at the intersection of platform engineering and reliability. You’ll design, operate, and evolve the cloud-native infrastructure that underpins Qdrant Cloud, with a strong focus on scalability, stability, and reducing operational load through engineering.
This role is for engineers who enjoy building platforms that run reliably in production, combining strong software engineering with infrastructure and systems thinking.
Design, implement, and operate core cloud platform components.
Build and maintain Kubernetes clusters and develop custom Kubernetes operators.
Write production-grade Go and Python code for platform services and automation.
Improve reliability, scalability, and cost efficiency of cloud infrastructure (AWS/GCP/Azure).
Strengthen observability through monitoring, logging, alerting, and metrics.
Automate operational workflows and platform integrations.
Collaborate closely with Platform, Regions & Clusters, and Features teams.
Participate in incident response, root cause analysis, and long-term system hardening.
Continuously reduce KTLO and operational overhead through engineering improvements.
5–7+ years of experience in platform engineering, infrastructure, or SRE-adjacent roles.
Strong proficiency in Go and Python, or deep expertise in one with willingness to work regularly with both.
Solid experience running Kubernetes in production.
Strong understanding of distributed systems and cloud-native architectures.
Hands-on experience with major cloud providers (AWS, GCP, or Azure).
Experience with CI/CD, infrastructure-as-code, and automation practices.
Comfortable participating in on-call rotations and managing production incidents.
Ownership mindset and clear communication skills.
Experience building Kubernetes operators or control-plane components.
Background in SaaS, database, or systems-level product companies.
Experience with Prometheus, Grafana, OpenTelemetry, or similar tooling.
Familiarity with networking, load balancing, or service meshes.
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.
