Staff Backend Engineer – Grafana

Grafana Labs

. Design, implement, test, and operate backend services for context ingestion, indexing, retrieval orchestration, API access, source configuration, and system administration .

Posted 9/18/2026full-timeRemote • Ireland, Spain, Sweden, United Kingdom, GermanyLead💰 €117,600 - €141,120 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable multi-tenant SaaS architectures, building production-grade software systems, and utilizing observability tools for system reliability. Proven ability to collaborate across teams and take ownership of AI solutions while effectively communicating and iterating on user feedback.

Highest-signal resume keywords

SaaS Architecture DesignAI Technologies and FrameworksLLMs and GenAI ApplicationsCloud-Native Environments (AWS, GCP, Azure)Observability Tools Usage

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend Service DevelopmentAPI DevelopmentContext Ingestion and RetrievalMetrics and Logging ImplementationSystem Administration

Soft Skills

Effective CommunicationCollaborative Working StyleProactive InitiativeProblem-Solving

Tools & Technologies

Observability ToolsCloud Platforms (AWS, GCP, Azure)

Industry Keywords

Production-Grade SoftwareUser-Facing Software SystemsTenant IsolationUsage TrackingBackground Jobs

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

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
Make practical tradeoffs between rapid experimentation and 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 and ensure they are scalable, maintainable, and aligned with real user workflows
Collaborate across product, infrastructure, and engineering teams

Requirements

What you’ll need

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 define scope amid ambiguity
Effective communication and collaborative working style

Benefits

Comp & perks

Equity
Bonus (if applicable)
100% remote, global culture
Career growth pathways
In-person onboarding
30 days of annual leave 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