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Salary: SEK 775,000 - 969,000 / annual
Grafana Labs is building an AI-native data intelligence system as part of a new skunkworks initiative to bring observability to the rest of the business. The goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise.
You will join a high-autonomy team working on the underlying storage system for a general-purpose data platform. The database layer supports both OLAP and OTLP capabilities, embraces separation of compute and storage, and is designed to run on multiple cloud providers. This is an early-stage role where you'll work through ambiguity, make pragmatic architectural decisions, and build systems that evolve from internal dogfooding to production-grade SaaS.
Key responsibilities include:
- Take ownership of one or multiple parts of the database: design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, and storage formats
- Create a scalable SaaS foundation by defining and building architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries
- Power agent-facing retrieval workflows by building APIs and database interfaces for AI agents, MCP tools, CLIs, and internal applications
- Work across product and infrastructure to balance fast experimentation with long-term reliability
- Operate what you build by instrumenting database services with metrics, logs, traces, alerts, and dashboards
- Contribute to technical direction for architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices
- Communicate effectively in a dynamic, collaborative environment
- Take full ownership of database solutions, ensuring they are scalable, maintainable, and aligned with real user workflows
Grafana Labs is a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, and others. Customers include Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce. The team operates with transparency, autonomy, and trust, meeting regularly over video and working asynchronously in writing.
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, push boundaries for impactful solutions, deal with ambiguity and define scope
- Collaborative attitude: communicate effectively with peers, open to feedback, solutions-oriented mindset
- Experience with distributed systems, catalogs and table formats, query engines
- Mastery of a programming language like Go, C++, or Rust
- 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 distributed query engines
- Experience building data warehouses and/or data lakes
- Experience building tools for data engineering
