Senior Software Engineer – Cloud Platform Infrastructure

🔥 6 minutes ago

🌐 Brazil, United States, +2 more countries – Remote

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⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

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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

• Build internal tools and services that power Qdrant Cloud infrastructure. • Develop automation and platform components using Go and Python. • Design systems for cluster provisioning, lifecycle management, and infrastructure automation. • Improve Kubernetes automation through controllers, operators, and infrastructure tooling. • Design solutions that reduce operational toil and eliminate manual infrastructure work. • Improve reliability, scalability, and observability of the cloud platform. • Collaborate with platform and infrastructure teams on system architecture and automation. • Participate in incident response and implement improvements to prevent recurrence. • Continuously improve the internal platform used to operate Qdrant Cloud.

🎯 Requirements

• 5+ years of experience in SRE, platform engineering, or infrastructure software engineering. • Strong programming skills (Go preferred, Python acceptable). • Experience building automation or tooling for cloud infrastructure. • Hands-on experience operating Kubernetes in production. • Experience working with AWS, GCP, or Azure. • Strong understanding of Linux systems and networking fundamentals. • Experience improving reliability through automation and systems design. • Comfortable participating in on-call rotations. • Nice to have: Experience building Kubernetes controllers or operators, Terraform or infrastructure-as-code tools, observability stacks such as Prometheus, Grafana, or OpenTelemetry, large-scale SaaS infrastructure, database or data infrastructure systems.

🏖️ Benefits

• 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. • Comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.

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