Description
Grafana Labs is seeking a Staff-level Backend Engineer to help build the first production services for a context layer management system. The successful candidate will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations.
Responsibilities:
- 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 that allow 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 the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
- Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
- Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
Requirements:
- Strong engineering skills: Solid experience building production-grade, user-facing software systems.
- AI experience with a practical mindset: Familiarity with AI technologies and frameworks, and a focus on delivering high-quality solutions that work in the real world.
- Quick iteration and experimentation: Comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
- Proven initiative: Ability to take ownership and drive projects forward, pushing boundaries to find the most impactful solutions.
- Collaborative attitude: Effective communication with peers, open to feedback, and 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 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.
Compensation & Rewards:
- In the Republic of Ireland, the Base compensation range for this role is EUR 107,000 - EUR 134,000.
Benefits:
- 100% Remote, Global Culture
- Scaling Organisation
- Transparent Communication
- Innovation-Driven
- Open Source Roots
- Empowered Teams
- Career Growth Pathways
- Approachable Leadership
- Passionate People
- In-Person onboarding
- Balance is Key
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