
501 - 1000 employees
Founded 2014
🏢 Enterprise
☁️ SaaS
🤖 Artificial Intelligence
Enterprise • SaaS • Artificial Intelligence
Grafana Labs is a company that specializes in open-source observability technologies and solutions. It offers a comprehensive suite of tools for logging, metrics, tracing, and profile management with products like Grafana, Loki, Tempo, and Mimir. Their offerings are designed to help businesses visualize, monitor, and alert on data from various sources, providing capabilities such as anomaly detection, root cause analysis, and service level objective management using AI/ML insights. Grafana Labs provides both cloud-based and self-managed solutions, ideal for infrastructure, application, and frontend observability. Additionally, their platform supports integration with various data sources like Prometheus and OpenTelemetry, making them a key player in the observability and infrastructure monitoring space.
🔥 0 minutes ago
🌐 Spain, Sweden, +3 more countries – Remote
💵 €83k - €103.7k / year
⏰ Full Time
🟠 Senior
🔙 Backend Engineer
👻 Ghost score 2%
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501 - 1000 employees
Founded 2014
🏢 Enterprise
☁️ SaaS
🤖 Artificial Intelligence
Enterprise • SaaS • Artificial Intelligence
Grafana Labs is a company that specializes in open-source observability technologies and solutions. It offers a comprehensive suite of tools for logging, metrics, tracing, and profile management with products like Grafana, Loki, Tempo, and Mimir. Their offerings are designed to help businesses visualize, monitor, and alert on data from various sources, providing capabilities such as anomaly detection, root cause analysis, and service level objective management using AI/ML insights. Grafana Labs provides both cloud-based and self-managed solutions, ideal for infrastructure, application, and frontend observability. Additionally, their platform supports integration with various data sources like Prometheus and OpenTelemetry, making them a key player in the observability and infrastructure monitoring space.
• Design, implement, test, and operate database components including ingestion, query planning, distributed query execution, data formats, and storage formats • Help define and build a scalable, multi-tenant database SaaS architecture • Implement tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries • Build APIs and database interfaces for AI agents, MCP tools, CLIs, and internal applications • Balance rapid experimentation with long-term reliability as the project moves from prototype to production • Instrument database services with metrics, logs, traces, alerts, and dashboards • Use observability tools to understand system behavior and improve reliability • Shape architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices • Collaborate across product, infrastructure, and engineering teams • Own database solutions to ensure scalability, maintainability, and alignment with user workflows
• Solid experience building production-grade, user-facing software systems • Ability to tackle complex engineering problems and make design decisions with minimal supervision • Familiarity with AI technologies and frameworks • Experience with distributed systems, catalogs and table formats, and query engines • Mastery of a programming language such as Golang, C++, or Rust • Proven track record of delivering software into production and active user use • Exposure to cloud-native environments such as AWS, GCP, or Azure • Experience using observability tools to understand and troubleshoot system behavior • Effective communication and cross-team collaboration • Ability to work with ambiguity, take ownership, and define scope • Experience building distributed query engines, data warehouses or data lakes, or data engineering tools is a bonus
• Restricted Stock Units (RSUs) • 100% remote work • Career growth pathways • In-person onboarding • 30 days of annual leave per annum • 3 annual leave days reserved for Grafana Shutdown Days • Transparent communication and regular company-wide updates • Autonomy and support to ship great work and try new things • Empowered, high-trust, low-ego culture • Approachable and involved leadership • Global collaboration and remote-first work environment
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