
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.
🕒 July 23
🌐 United Kingdom, Spain, +3 more countries – Remote
💵 £104k - £124.8k / year
⏰ Full Time
🔴 Lead
🔙 Backend Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
👻 Ghost score 9%
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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.
• Build the core backend services: Design, implement, test, and operate first services for context ingestion and storage • Create a scalable SaaS foundation: Define and build architecture for a multi-tenant service • Power agent-facing retrieval workflows: Build APIs and service interfaces for AI agents • Work across product and infrastructure: Make tradeoffs between fast experimentation and long-term reliability • Operate what you build: Instrument services with metrics and improve reliability • Contribute to technical direction: Shape architecture and engineering practices for a new product area • Effective communication: Work in a highly dynamic and collaborative environment • Ownership and impact: Take full ownership of AI solutions ensuring they are scalable and aligned with real user workflows.
• Strong engineering skills: Solid experience building production-grade, user-facing software systems • AI experience with a practical mindset: Familiar with AI technologies and frameworks • Quick iteration and experimentation: Comfortable releasing prototypes and collecting feedback • Proven initiative: Take ownership and drive projects forward, managing ambiguity • Collaborative attitude: Communicate effectively with peers and bring a solutions-oriented mindset • Experience with LLMs, prompt engineering, and building applications powered by GenAI • Proven track record of delivering software that made it into production • Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure) • Experience using observability tools to understand and troubleshoot system behavior.
• Equity • Bonus (if applicable) • 30 days annual leave • Grafana Shutdown Days
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