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 • Spain, Sweden, United Kingdom, Ireland, GermanyLead💰 €94,025 - €112,830 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 AI technologies and frameworks. Proficient in using observability tools for system behavior analysis and capable of making pragmatic architectural decisions in cloud-native environments.

Highest-signal resume keywords

Production-Grade Software DevelopmentAI Technologies and FrameworksCloud-Native Environments (AWS, GCP, Azure)Observability ToolsMulti-Tenant SaaS Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend Service DesignAPI DevelopmentLLMs and Prompt EngineeringGenAI-Powered ApplicationsScalable ArchitectureService InstrumentationPrototyping and IterationData Engineering Tools

Soft Skills

CollaborationProblem-SolvingAdaptability

Tools & Technologies

LookerTableauPower BISnowflakeDatabricks

Industry Keywords

SaaSObservabilityUser WorkflowsAgent FrameworksMulti-Agent Workflows

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformTableau

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
Balance rapid experimentation with long-term reliability as the project moves from prototype to production
Instrument services with metrics, logs, traces, alerts, and dashboards
Shape architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices
Take ownership of scalable, maintainable AI solutions aligned with real user workflows
Collaborate across product, infrastructure, and engineering teams

Requirements

What you’ll need

Strong experience building production-grade, user-facing software systems
Familiarity with AI technologies and frameworks
Experience with LLMs, prompt engineering, and building GenAI-powered applications
Proven track record of delivering software used by users in production
Exposure to cloud-native environments such as AWS, GCP, or Azure
Experience using observability tools to understand and troubleshoot system behavior
Ability to release prototypes, collect feedback, and iterate pragmatically
Ability to work through ambiguity, define scope, and make pragmatic architectural decisions
Bonus: Experience with agent frameworks or multi-agent workflows
Bonus: Experience with data platforms such as Looker, Tableau, Power BI, Snowflake, or Databricks
Bonus: Experience building tools for data engineering

Benefits

Comp & perks

Restricted Stock Units (RSUs)
100% remote work
Career growth pathways
In-person onboarding
30 days of annual leave per annum
3 annual leave days reserved for Grafana Shutdown Days