Staff Backend Engineer – Grafana

Grafana Labs

Staff Backend Engineer responsible for building core backend architecture for Grafana's observability tools. Join a remote team aiming to innovate and improve real-time data management.

Posted 7/23/2026full-timeRemote • 🇸🇪 SwedenLead💰 SEK 878,578 - SEK 1,054,294 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building production-grade software systems with a focus on AI technologies, including LLMs and prompt engineering. Capable of designing scalable SaaS architectures and effectively communicating across teams in a dynamic environment.

Highest-signal resume keywords

Production-Grade Software DevelopmentAI Technologies and FrameworksLLMs and Prompt EngineeringCloud-Native Environments (AWS, GCP, Azure)Observability Tools

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Backend Service DevelopmentAPI DevelopmentSaaS Architecture DesignSoftware TestingMetrics and Logging Implementation

Soft Skills

Effective CommunicationCollaborative AttitudeProven Initiative

Tools & Technologies

Observability ToolsCloud Platforms (AWS, GCP, Azure)

Industry Keywords

Multi-Tenant ServiceAI SolutionsFast ExperimentationUser-Facing Software Systems

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Build the core backend services: Design, implement, test, and operate the first services.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service.
Power agent-facing retrieval workflows: Build APIs and service interfaces for retrieval.
Work across product and infrastructure: Make practical tradeoffs between fast experimentation and long-term reliability.
Operate what you build: Instrument services with metrics, logs, traces, and alerts.
Contribute to technical direction: Help shape architecture and engineering practices.
Effective communication: Contribute across teams in a highly dynamic environment.
Ownership and impact: Take full ownership of the AI solutions you develop.

Requirements

What you’ll need

Strong engineering skills: Solid experience building production-grade, user-facing software systems.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward.
Collaborative attitude: You communicate effectively with your peers.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
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 of annual leave
Remote work benefits
In-person onboarding