Staff Backend Engineer – Grafana Second Horizon

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 • United Kingdom, Spain, Sweden, Ireland, GermanyLead💰 £103,958 - £124,750 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. Proficient in AI technologies, including LLMs and GenAI applications, with a strong focus on user workflows and data engineering.

Highest-signal resume keywords

SaaS Architecture DesignAI Technologies and FrameworksProduction-Grade Software DevelopmentObservability Tools UsageData Engineering Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend Service DevelopmentAPI DevelopmentMulti-Tenant ArchitecturePrompt EngineeringCloud-Native EnvironmentsData AnalysisData PlatformsService InstrumentationSystem AdministrationAgent Frameworks

Soft Skills

Effective CommunicationOwnershipIterative Problem SolvingAdaptability

Tools & Technologies

AWSGCPAzureLookerTableauPowerBISnowflakeDataBricksObservability ToolsMCP Tools

Industry Keywords

Context IngestionIndexingRetrieval OrchestrationUsage TrackingAudit LogsBackground JobsService BoundariesUser WorkflowsConfidence SignalsWarnings

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
Partner across product and infrastructure to balance experimentation with long-term reliability
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 innovative AI solutions, ensuring scalability, maintainability, and alignment with user workflows

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 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
Experience building or working with agent frameworks or multi-agent workflows is a bonus
Experience as a data analyst or with data platforms such as Looker, Tableau, PowerBI, Snowflake, or DataBricks is a bonus
Experience building tools for data engineering is a bonus
Ability to work through ambiguity, take ownership, iterate quickly, and communicate effectively

Benefits

Comp & perks

Equity
Bonus (if applicable)
100% remote work
Career growth pathways
In-person onboarding
30 days annual leave per annum, including 3 Grafana Shutdown Days
Transparent communication and regular company-wide updates
Autonomy and support to ship great work
High trust, low ego culture
Approachable, involved leadership