Senior Full Stack Engineer – Databases, Analytics

🕒 September 18

🌐 Sweden, Spain, +3 more countries – Remote

🇸🇪 Sweden – Remote 🇪🇸 Spain – Remote 🇬🇧 United Kingdom – Remote 🇮🇪 Ireland – Remote 🇩🇪 Germany – Remote

💵 kr878.6k - kr1.1M / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 21%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 55 days.
• Jobs at this company usually fill in 32 days.
• Reposted once.

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Grafana Labs

WebsiteLinkedInAll Job Openings

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

• 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 • Balance rapid experimentation with long-term reliability as the project moves from prototype to production • 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 to ensure scalability, maintainability, and alignment with real user workflows • Contribute across teams in a dynamic, collaborative environment

🎯 Requirements

• Solid experience building production-grade, user-facing software systems • Familiarity with AI technologies and frameworks • Experience with LLMs, prompt engineering, and building applications powered by GenAI • 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 • Ability to tackle complex engineering problems and make UI design decisions with minimal supervision • Comfortable releasing prototypes, collecting feedback, and iterating pragmatically • Proven initiative, ownership, and ability to work through ambiguity • Effective communication and collaboration skills • Bonus: experience with agent frameworks or multi-agent workflows • Bonus: experience as a data analyst or with data platforms such as Looker, Tableau, PowerBI, Snowflake, or DataBricks • Bonus: experience building tools for data engineering

🏖️ Benefits

• Equity • Bonus (if applicable) • 100% remote, global culture • Career growth pathways • In-person onboarding • Global annual leave policy of 30 days per annum • 3 annual leave days reserved for Grafana Shutdown Days • 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 team collaboration

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