Senior Software Engineer, Cluster & Lifecycle

Job not on LinkedIn

🔥 2 minutes ago

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

Where this job comes from

Posted on Qdrant's careers page ↗Qdrant's careers page, not through a job board

First seen by Remote Rocketship 2 minutes ago

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Logo of Qdrant

Qdrant

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS

Qdrant is a company that builds a high‑performance vector database and managed cloud services for similarity search and AI retrieval. It offers an open‑source, Rust‑based vector engine (Qdrant Vector Database) plus managed offerings (Qdrant Cloud, Hybrid Cloud, Private Cloud, Edge, and Enterprise solutions), optimized for real‑time indexing, hybrid dense+sparse search, multivector retrieval, and large‑scale production deployments. Qdrant is positioned for builders of RAG, semantic search, recommendation systems, AI agents, and anomaly detection, and emphasizes developer APIs, enterprise security/compliance (SOC2, HIPAA options), and deployment flexibility (on‑prem, cloud, hybrid, edge).

📋 Description

• Design and build features in the Kubernetes operator and control-plane services, in Go • Own the full cluster lifecycle, including provisioning, scaling, upgrades, configuration changes, backups, and restores • Design APIs and integrations that let people and AI agents manage Qdrant Cloud • Close feature gaps between Hybrid Cloud and managed cloud, and extend Private Cloud • Make cluster operations safe by default through controlled rollouts, minimal customer disruption, and clear failure handling • Participate in on-call for the services built, including incident response and root cause analysis • Collaborate with Operations, Platform, Billing & IAM, Product, and Support teams

🎯 Requirements

• 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, including reconciliation loops, retries, and recovery from partial failures • Strong understanding of distributed systems, including consistency, failure handling, and replication • Hands-on experience with at least one major cloud provider: AWS, GCP or Azure • Experience designing APIs using gRPC or REST • Experience with CI/CD and automated testing • Comfortable participating in on-call rotations and handling production incidents • Ownership mindset and clear communication skills • Nice to have: experience running stateful workloads or databases on Kubernetes • Nice to have: background in database, storage or DBaaS products • Nice to have: experience with backup, replication or disaster recovery systems • Nice to have: experience with Prometheus, Grafana, OpenTelemetry or similar tooling • Nice to have: contributions to open-source projects, especially in the Kubernetes ecosystem

🏖️ Benefits

• A competitive salary with additional perks • Flexible working hours and async-friendly culture • Choose your own laptop equipment • For US-based full-time employees: 401k match • For US-based full-time employees: health, dental, and vision insurance • For US-based full-time employees: flexible PTO policy

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