Staff Backend Engineer – Grafana

Grafana Labs

Backend Engineer at Grafana Labs developing core backend architecture for context layer management system. Join a team focused on observability tools and AI-driven solutions in a remote setting.

Posted 7/23/2026full-timeRemote • 🇬🇧 United KingdomLead💰 £103,958 - £124,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building scalable backend services and APIs, with a strong focus on AI technologies and cloud-native environments. Proven ability to take ownership of projects, drive initiatives, and communicate effectively in collaborative settings.

Highest-signal resume keywords

Backend Service DevelopmentAI Technologies and FrameworksCloud-Native EnvironmentsLLMs and Prompt EngineeringObservability Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production-Grade Software DevelopmentAPI DevelopmentMulti-Tenant ArchitectureScalable SaaS SolutionsPrototyping and Iteration

Soft Skills

Effective CommunicationCollaborative AttitudeOwnership and Initiative

Tools & Technologies

AWSGCPAzureObservability Tools

Industry Keywords

AI SolutionsContext IngestionService InterfacesUser WorkflowsDynamic Environments

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Build the core backend services: Design, implement, test, and operate first services for context ingestion and storage
Create a scalable SaaS foundation: Define and build architecture for a multi-tenant service
Power agent-facing retrieval workflows: Build APIs and service interfaces for AI agents
Work across product and infrastructure: Make tradeoffs between fast experimentation and long-term reliability
Operate what you build: Instrument services with metrics and improve reliability
Contribute to technical direction: Shape architecture and engineering practices for a new product area
Effective communication: Work in a highly dynamic and collaborative environment
Ownership and impact: Take full ownership of AI solutions ensuring they are scalable and aligned with real user workflows.

Requirements

What you’ll need

Strong engineering skills: Solid experience building production-grade, user-facing software systems
AI experience with a practical mindset: Familiar with AI technologies and frameworks
Quick iteration and experimentation: Comfortable releasing prototypes and collecting feedback
Proven initiative: Take ownership and drive projects forward, managing ambiguity
Collaborative attitude: Communicate effectively with peers and bring a solutions-oriented mindset
Experience with LLMs, prompt engineering, and building applications powered by GenAI
Proven track record of delivering software that made it into production
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure)
Experience using observability tools to understand and troubleshoot system behavior.

Benefits

Comp & perks

Equity
Bonus (if applicable)
30 days annual leave
Grafana Shutdown Days