Grafana Labs
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.
Staff Backend Engineer – Grafana
🔥 0 minutes ago
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Grafana Labs
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.
📋 Description
• Build the core backend services: Design, implement, test, and operate the first services. • Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service. • Power agent-facing retrieval workflows: Build APIs and service interfaces for retrieval. • Work across product and infrastructure: Make practical tradeoffs between fast experimentation and long-term reliability. • Operate what you build: Instrument services with metrics, logs, traces, and alerts. • Contribute to technical direction: Help shape architecture and engineering practices. • Effective communication: Contribute across teams in a highly dynamic environment. • Ownership and impact: Take full ownership of the AI solutions you develop.
🎯 Requirements
• Strong engineering skills: Solid experience building production-grade, user-facing software systems. • AI experience with a practical mindset: You’re familiar with AI technologies and frameworks. • Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. • Proven initiative: You take ownership and drive projects forward. • Collaborative attitude: You communicate effectively with your peers. • Experience with LLMs, prompt engineering, and building applications powered by GenAI. • Proven track record of delivering software that made it into production and is actively used by users. • Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). • Experience using observability tools to understand and troubleshoot system behavior.
🏖️ Benefits
• Equity • Bonus (if applicable) • 30 days of annual leave • Remote work benefits • In-person onboarding
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