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Staff Backend Engineer
Grafana LabsStaff-level Backend Engineer building backend architecture for AI-native data intelligence system at Grafana Labs. Designing services for context ingestion and agent-facing integrations.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building scalable backend services and APIs for AI applications, with a strong focus on observability and cloud-native environments. Proven ability to take ownership of projects and effectively communicate in collaborative settings.
Highest-signal resume keywords
Backend Service DevelopmentAI Technologies and FrameworksCloud-Native EnvironmentsObservability ToolsLLMs and Prompt Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Production-Grade Software DevelopmentAPI DevelopmentMulti-Tenant ArchitectureContext IngestionIndexing Services
Soft Skills
Effective CommunicationCollaborative AttitudeProven InitiativeSolutions-Oriented Mindset
Tools & Technologies
AWSGCPAzureObservability Tools
Industry Keywords
SaaSAI SolutionsGenAIPrototypingIterative Development
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud Platform
About the role
Key responsibilities & impact- Build the core backend services: Design, implement, test, and operate services for context ingestion and indexing.
- Create a scalable SaaS foundation: Define and build architecture for multi-tenant service.
- Power agent-facing retrieval workflows: Build APIs for AI agents and internal applications.
- Work across product and infrastructure and make practical tradeoffs.
- Operate what you build: Instrument services with observability tools.
- Contribute to technical direction: Help shape architecture and engineering practices.
- Effective communication in a dynamic and collaborative environment.
- Ownership and impact: Take full ownership of AI solutions developed.
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 iterating.
- Proven initiative: Ownership and drive projects forward.
- Collaborative attitude: Effective communication and 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
- 3 days reserved for Grafana Shutdown Days
- remote work options