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 • Germany, Spain, Sweden, United Kingdom, IrelandLead💰 €109,709 - €131,651 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. Proficient in collaborating across teams to ensure reliable and maintainable AI solutions aligned with user workflows.

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 Services DevelopmentAPI DevelopmentLLMs and Prompt EngineeringData Engineering ToolsService Instrumentation

Soft Skills

CollaborationProblem-SolvingAdaptability

Tools & Technologies

LookerTableauPowerBISnowflakeDataBricks

Industry Keywords

SaaS ArchitectureUser-Facing SoftwareAI SolutionsAgent FrameworksData Platforms

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
Contribute to 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 user workflows
Collaborate asynchronously and across teams in a highly autonomous environment

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 work through ambiguity, define scope, and make pragmatic architectural decisions
Experience building or working 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 (bonus)

Benefits

Comp & perks

Equity
Bonus (if applicable)
100% remote, global culture
Career growth pathways
In-person onboarding
30 days 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
High-trust, low-ego culture
Approachable, transparent leadership