Senior Software Engineer, Cluster & Lifecycle (EMEA)

• Design and build features in our Kubernetes operator and control-plane services, in Go.
• Own the full cluster lifecycle: provisioning, scaling, upgrades, configuration changes, backups and restores.
• Design APIs and integrations that let people, and more and more AI agents, manage Qdrant Cloud.
• Close the feature gaps between Hybrid Cloud and our managed cloud, and extend Private Cloud.
• Make cluster operations safe by default: controlled rollouts, minimal disruption to customers and clear failure handling.
• Take part in on-call for the services you build, including incident response and root cause analysis.
• Work closely with other teams (Operations, Platform, and Billing & IAM teams, Product and Support).

• 5+ years of software engineering experience, with a good part of it on infrastructure, platform or distributed systems.
• Strong proficiency in Go.
• Experience building Kubernetes operators, controllers or similar orchestration services (reconciliation loops, retries, recovering from partial failures).
• Strong understanding of distributed systems: consistency, failure handling, replication.
• Hands-on experience with at least one major cloud provider (AWS, GCP or Azure).
• Experience designing APIs (gRPC or REST) and with CI/CD and automated testing.
• Comfortable participating in on-call rotations and handling production incidents.
• Ownership mindset and clear communication skills.

• Experience running stateful workloads or databases on Kubernetes.
• Background in database, storage or DBaaS products.
• Experience with backup, replication or disaster recovery systems.
• Experience with Prometheus, Grafana, OpenTelemetry or similar tooling.
• Contributions to open-source projects, especially in the Kubernetes ecosystem.

Qdrant Cloud is growing fast, and most of the new product features on our 2027 roadmap land with this team. That means a lot of new work: cross-region replication, disaster recovery and new ways to manage clusters.

This role is for engineers who like hard distributed systems problems, write Go every day, and want their code to manage real customer databases in production.

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.

• 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.

Come build with us!

FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/