Senior Software Engineer - Platform and Reliability (EMEA)

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. What you will own 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. Who you are 5–7+ years of experience in platform engineering or SRE roles. Strong proficiency in Go. 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. Experience with Prometheus, Grafana, and service meshes (e.g. Istio, Linkerd). Comfort participating in on-call rotations and managing production incidents. Proactive, ownership-driven mindset with strong communication skills. Nice to have Experience with Python. Experience in a SaaS, database, or systems-level product company.