Backend Engineer - Adaptive Telemetry 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 position. We are looking for candidates in the Canadian time zones.

• Drive technical strategy and roadmap. Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
• Lead end‑to‑end delivery of large, cross‑functional projects. Own planning, design, execution, rollout and long‑term operation of large initiatives.
• Own architecture, reliability, performance and cost for critical systems. Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
• Define SLOs/SLIs and lead incident response. Establish measurable reliability targets, run high‑severity incident response, lead blameless post‑mortems, and drive systemic fixes and automation to prevent recurrence.
• Improve observability, automation and operational readiness. Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
• Align stakeholders and remove blockers. Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
• Mentor and grow engineering talent. Coach senior and mid‑level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
• Represent engineering internally and externally. Communicate technical strategy clearly to non‑engineering stakeholders and represent the team in cross‑team planning.

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).

You are a motivated self‑starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs.

• Proven delivery of large distributed systems. Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
• Strong systems‑design instincts. Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
• Hands‑on cloud and platform experience. Solid experience with cloud‑native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
• Reliability and performance ownership. Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving…