Senior Software Engineer - Grafana Databases, Managed Services Remote Remote

Position: Senior Software Engineer - Grafana Databases, Managed Services |  | Remote New Remote)
Senior Software Engineer - Grafana Databases, Managed Services | Canada | Remote
Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack , both featuring scalable metrics (Grafana Mimir ), logs (Grafana Loki ), and traces (Grafana Tempo ).

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote opportunity and we would be interested in applicants from Canadian time zones only at this time.

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity:

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ Warp Stream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. Warp Stream acts as the streaming backbone for ingestion and read/write decoupling across databases.

It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:
As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure

Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)

Designing safe upgrade and rollout strategies at scale

Improving observability, automation, and operational ergonomics

Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan‑out, and query performance

Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade‑offs, etc.

Serving as a primary escalation point and on‑call for relevant incidents

Owning the relationship with all system vendors, including Warp Stream Labs and others.

As we are remote‑first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company‑funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI‑assisted development: faster prototyping, test generation, refactors, documentation, and incident follow‑ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT‑Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of…