Staff Backend Engineer – Grafana

Grafana Labs

Staff Backend Engineer helping build backend services for Grafana's context layer management system. Designing architecture and collaborating on AI solutions in a remote team.

Posted 7/23/2026full-timeRemote • 🇪🇸 SpainLead💰 €94,025 - €112,830 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong engineering skills in building production-grade software systems, with a focus on AI technologies and frameworks. Capable of designing scalable SaaS architectures and utilizing observability tools to enhance system reliability and performance.

Highest-signal resume keywords

Production-Grade Software DevelopmentAI Technologies and FrameworksCloud-Native Environments (AWS, GCP, Azure)Observability ToolsLLMs and Prompt Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend Service DesignAPI DevelopmentMulti-Tenant ArchitectureContext IngestionContext IndexingRetrieval OrchestrationService InstrumentationUsage TrackingQuotas ManagementBackground Jobs

Soft Skills

Effective CommunicationCollaborative AttitudeProven InitiativeSolutions-Oriented Mindset

Tools & Technologies

Observability ToolsMCP ToolsCLIs

Industry Keywords

SaaSAI SolutionsUser WorkflowsPrototype DevelopmentFeedback Iteration

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 for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces allowing AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: Work in a highly dynamic and collaborative environment, communicate effectively, and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are innovative, scalable, maintainable, 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, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: Take ownership and drive projects forward, pushing boundaries to find the most impactful solutions.
Collaborative attitude: Communicate effectively with peers, open to feedback, 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 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

100% Remote, Global Culture
Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication – Expect open decision-making and regular company-wide updates.
Innovation-Driven – Autonomy and support to ship great work and try new things.
Open Source Roots – Built on community-driven values that shape how we work.
Empowered Teams – High trust, low ego culture that values outcomes over optics.
Career Growth Pathways – Defined opportunities to grow and develop your career.
Approachable Leadership – Transparent execs who are involved, visible, and human.
Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.