25 days ago
Base Salary
$154k - $185k/yr
Responsibilities
- Design, implement, test, and operate database components including ingestion, query planning, distributed query execution, data formats, and storage formats.
- Build a scalable multi-tenant database service with tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
- Develop APIs and database interfaces that enable AI agents, MCP tools, CLIs, and internal applications to retrieve data efficiently.
- Make architectural tradeoffs across product and infrastructure as the system evolves from prototype to production.
- Instrument and operate database services with metrics, logs, traces, alerts, and dashboards.
- Shape architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
- Own database solutions through delivery, operation, scalability, maintainability, and alignment with user workflows.
Requirements
- Experience building production-grade, user-facing software systems and delivering software actively used in production.
- Experience with distributed systems, catalogs and table formats, and query engines.
- Mastery of a programming language such as Go, C++, or Rust.
- Familiarity with AI technologies and frameworks and a practical approach to delivering reliable solutions.
- Experience working in cloud-native environments such as AWS, GCP, or Azure.
- Experience using observability tools to understand and troubleshoot system behavior.
- Ability to work independently through ambiguity, make architectural decisions, iterate quickly, and communicate effectively across teams.
- Bonus: experience building distributed query engines, data warehouses or data lakes, or tools for data engineering.
Benefits
- 100% remote role open to applicants in the US or Canada, with remote-first asynchronous work and regular video meetings.
- Country-specific benefits and pay ranges are discussed with candidates applying from locations outside the listed US range.
- Includes Restricted Stock Units (RSUs).
- 30 days of annual leave per year, including 3 Grafana Shutdown Days, subject to local legislation.
- In-person onboarding is provided.
- Career growth pathways, transparent communication, collaborative culture, and high-autonomy empowered teams.
About Grafana
Grafana Labs builds open-source observability tools and a managed SaaS, Grafana Cloud, used by engineering and SRE teams to monitor, visualize, and analyze telemetry. Its products include Grafana dashboards plus Loki (logs), Tempo (traces), and Mimir (metrics), offered as cloud subscriptions and enterprise software. Privately held and headquartered in New York, it serves customers such as Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce.