
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.
🔥 21 minutes ago
🌐 Sweden, Spain, +3 more countries – Remote
💵 kr878.6k - kr1.1M / year
⏰ Full Time
🔴 Lead
🔙 Backend Engineer
👻 Ghost score 1%
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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 backend services for context ingestion, indexing, retrieval orchestration, API access, source configuration, and system administration • Define and build a scalable multi-tenant SaaS architecture with tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries • Build APIs and service interfaces for AI agents, MCP tools, CLIs, and internal applications to retrieve context, provenance, confidence signals, and warnings • Partner across product and infrastructure to balance experimentation with long-term reliability • Instrument 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 • Take ownership of AI solutions that are scalable, maintainable, and aligned with user workflows
• Solid experience building production-grade, user-facing software systems • Capable of tackling complex engineering problems and making UI design decisions with minimal supervision • Familiarity with AI technologies and frameworks • Comfortable releasing prototypes, collecting feedback, and iterating pragmatically • Proven initiative, ownership, and ability to define scope amid ambiguity • Effective communication and collaborative attitude • Experience with LLMs, prompt engineering, and GenAI-powered applications • 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 • Bonus: Experience with agent frameworks or multi-agent workflows • Bonus: Experience with data platforms such as Looker, Tableau, PowerBI, Snowflake, or DataBricks • Bonus: Experience building tools for data engineering
• Equity • Bonus (if applicable) • 100% remote, global culture • Career growth pathways • In-person onboarding • 30 days of annual leave per annum • 3 Grafana Shutdown Days reserved from annual leave entitlement • Transparent communication and regular company-wide updates • Autonomy and support to ship great work and try new things • High-trust, low-ego culture • Approachable, transparent leadership • Global annual leave policy complying with local legislation where applicable
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