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 • Sweden, Spain, United Kingdom, Ireland, GermanyLead💰 SEK 878,578 - SEK 1,054,294 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building scalable multi-tenant SaaS architectures and backend services, with a strong focus on AI technologies and observability tools. Proven ability to deliver production-grade software solutions while collaborating effectively across teams.

Highest-signal resume keywords

SaaS Architecture DesignAI Technologies and FrameworksObservability ToolsProduction-Grade Software DevelopmentCloud-Native Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend Service DevelopmentAPI DevelopmentMulti-Tenant ArchitecturePrompt EngineeringData Engineering Tools

Soft Skills

Effective CommunicationCollaborative AttitudeProven InitiativeOwnership

Tools & Technologies

AWSGCPAzureLookerTableauPowerBISnowflakeDataBricks

Industry Keywords

Context IngestionIndexingRetrieval OrchestrationUser WorkflowsGenAI-Powered Applications

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 AI solutions that are scalable, maintainable, and aligned with user workflows

Requirements

What you’ll need

Solid experience building production-grade, user-facing software systems
Capable of tackling complex engineering problems and making UI design decisions with minimal supervision
Familiarity with AI technologies and frameworks
Comfortable releasing prototypes, collecting feedback, and iterating pragmatically
Proven initiative, ownership, and ability to define scope amid ambiguity
Effective communication and collaborative attitude
Experience with LLMs, prompt engineering, and 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
Bonus: Experience with agent frameworks or multi-agent workflows
Bonus: Experience with data platforms such as Looker, Tableau, PowerBI, Snowflake, or DataBricks
Bonus: Experience building tools for data engineering

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 Grafana Shutdown Days reserved from annual leave entitlement
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 annual leave policy complying with local legislation where applicable