
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.
🔥 5 minutes ago
🌐 United States, Canada – Remote
💵 $154.4k - $185.3k / year
⏰ Full Time
🟠 Senior
🔙 Backend Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 3%
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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 SaaS database architecture with 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 to retrieve data quickly • Partner across product and infrastructure to balance experimentation with long-term reliability • 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 • Own database solutions and ensure they are scalable, maintainable, and aligned with user workflows
• Solid experience building production-grade, user-facing software systems • Self-starter capable of tackling complex engineering problems and making 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 • Experience building distributed query engines (bonus) • Experience building data warehouses and/or data lakes (bonus) • Experience building tools for data engineering (bonus) • Ability to communicate effectively and contribute across teams • Ability to work through ambiguity, take ownership, and make pragmatic architectural decisions
• Restricted Stock Units (RSUs) • 100% remote, remote-only company • Career Growth Pathways – Defined opportunities to grow and develop your career • In-Person onboarding • Global annual leave policy of 30 days per annum • 3 days of annual leave reserved for Grafana Shutdown Days • Transparent communication and regular company-wide updates • Autonomy and support to ship great work and try new things • High trust, low ego culture that values outcomes over optics • Approachable, transparent leadership • Global annual leave policy complying with local legislation where applicable
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