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Salary: EUR 94,025 - 112,830 / annual
Grafana Labs is building an AI-native data intelligence system as part of a new skunkworks initiative called "Second Horizon." The mission is to make Grafana the single best place where humans and AI agents understand and act on real-time data across the enterprise. You will join a high-autonomy team of seasoned engineers and new hires to design and ship the core backend architecture for a context layer management system.
In this Staff-level role, you will own the design and implementation of production services for context ingestion, indexing, retrieval orchestration, and agent-facing APIs. Your responsibilities include:
- Building core backend services: Design, implement, test, and operate services for context ingestion, indexing, retrieval orchestration, API access, source configuration, and system administration.
- Creating a scalable SaaS foundation: Define and build multi-tenant architecture including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
- Powering agent-facing retrieval workflows: Build APIs and service interfaces for AI agents, MCP tools, CLIs, and internal applications to retrieve context, provenance, confidence signals, and warnings.
- Working across product and infrastructure: Partner with the team to balance fast experimentation with long-term reliability as the project moves from prototype to production.
- Operating what you build: Instrument services with metrics, logs, traces, alerts, and dashboards using observability tools to understand system behavior and improve reliability.
- Contributing to technical direction: Help shape architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for this new product area.
- Effective communication: Work in a dynamic, collaborative environment with clear communication across teams.
- Ownership and impact: Take full ownership of solutions, ensuring they are innovative, scalable, maintainable, and aligned with real user workflows.
This is an early-stage role on a high-autonomy team where you'll work through ambiguity, make pragmatic architectural decisions, and build systems that evolve from internal dogfooding to production-grade SaaS. As the team matures, there's opportunity to expand or redefine the role based on impact and initiative.
Grafana Labs is a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Customers include Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce.
REQUIREMENTS:
- Strong engineering skills: Solid experience building production-grade, user-facing software systems. Self-starter capable of tackling complex engineering problems with minimal supervision.
- AI experience with practical mindset: Familiar with AI technologies and frameworks, focused on delivering high-quality solutions that work in the real world.
- Quick iteration and experimentation: Comfortable releasing prototypes, collecting feedback, and iterating pragmatically.
- Proven initiative: Take ownership and drive projects forward, pushing boundaries to find impactful solutions. Able to deal with ambiguity and define scope where loosely defined.
- Collaborative attitude: Communicate effectively with peers, open to feedback, solutions-oriented mindset.
- Experience with LLMs, prompt engineering, and building GenAI-powered applications.
- Proven track record of delivering software into production that is actively used by users.
- Exposure to cloud-native environments (AWS, GCP, Azure).
- Experience using observability tools to understand and troubleshoot system behavior.
BONUS:
- Experience building or working with agent frameworks or multi-agent workflows.
- Experience as a data analyst or with data platforms (Looker, Tableau, PowerBI, Snowflake, DataBricks).
- Experience building tools for data engineering.
