
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.
🕒 September 28
🌐 Canada, United States – Remote
💵 $164.5k - $197.4k / year
⏰ Full Time
🟠 Senior
🔙 Backend Engineer
👻 Ghost score 12%
Where this job comes from
Posted on Grafana Labs's careers page, not through a job board
First seen by Remote Rocketship September 28
Still open on Grafana Labs's site. Checked 6 hours ago.

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 • Balance rapid experimentation with long-term product and infrastructure 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 • Collaborate across product, infrastructure, and engineering teams
• Strong experience building production-grade, user-facing software systems • 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 used by customers in production • Exposure to cloud-native environments such as AWS, GCP, or Azure • Experience using observability tools to understand and troubleshoot system behavior • Ability to work independently, tackle complex engineering problems, and make design decisions with minimal supervision • Ability to work effectively in a dynamic, collaborative environment • Experience building distributed query engines, data warehouses/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, including 3 Grafana Shutdown Days • Transparent communication and regular company-wide updates • Autonomy and support to ship great work and try new things
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