
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
🇺🇸 United States – Remote
💵 $154.4k - $185.3k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 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, develop, test, and ship AI-powered full-stack features for large datasets • Build high-performance user experiences that help users discover, organize, and optimize access to data • Rapidly prototype, test, validate, ship, and evolve LLM- or agent-powered workflows for the data engineering lifecycle • Collaborate on AI-driven product features and integrate agentic components with Slack and alerting systems • Engage with internal data teams for dogfooding • Use AI and automation tools to enhance product functionality and development workflows • Take ownership of scalable, maintainable AI solutions aligned with real user workflows • Shape analytics-focused AI agents for information retrieval • Work autonomously in a startup-like team environment and expand or redefine the role based on impact and initiative
• Strong software engineering background and experience building production-grade, user-facing software systems • Experience building user-facing experiences that balance utility and user delight • Experience with LLMs, context engineering, and GenAI-powered applications • Proven track record of delivering production software actively used by users • Exposure to cloud-native environments such as AWS, GCP, or Azure • Experience using observability tools to understand and troubleshoot system behavior • Familiarity with AI technologies and frameworks • Ability to prototype, release, collect feedback, and iterate quickly • Ability to tackle complex engineering problems and make UI design decisions with minimal supervision • Ability to work with ambiguity, define scope, take ownership, and drive projects forward • Effective communication and collaborative attitude • Nice to have but not required: experience with agent frameworks or multi-agent workflows • Nice to have but not required: experience as a data analyst or with data platforms such as Looker, Tableau, PowerBI, Snowflake, or DataBricks • Nice to have but not required: experience building tools for data engineering
• Restricted Stock Units (RSUs) • 100% remote work • Global annual leave policy of 30 days per annum • 3 annual leave days reserved for Grafana Shutdown Days • In-person onboarding • Career growth pathways • 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 collaboration and shared purpose
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