Senior Developer Advocacy Engineer | UK | Remote
Grafana Labs
About the role
About
Grafana Labs is a remote‑first, open‑source powerhouse with more than 20 M users of the Grafana visualization tool worldwide. The dashboards are used in diverse settings—from NASA launches and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps over 3 000 companies—including Bloomberg, JPMorgan Chase, and eBay—manage their observability strategies with the Grafana LGTM Stack, available as fully managed Grafana Cloud or self‑managed Grafana Enterprise, featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).
The Opportunity
Grafana is building the Interactive Learning Plugin, an open‑source, in‑product learning experience inside Grafana that helps users level up without leaving their workflow. The role is a fully remote Senior Developer Advocacy Engineer (UK candidates) embedded in Developer Advocacy, shipping real product code that impacts both Grafana Cloud and Grafana OSS. The primary focus will be the open‑source Interactive Learning Plugin and its content.
Responsibilities
- Build delightful interactive learning inside Grafana.
- Ship features that make learning experiences feel obvious, smooth, and scalable.
- Improve the end‑to‑end learner experience—from onboarding to completion.
- Enable contribution and authoring (especially for non‑engineers) by creating workflows and product features that let many contributors safely create, iterate on, and improve learning content.
- Support private guides and experiences.
- Build trustworthy, motivating, and useful progress and completion tracking.
- Instrument learning flows to understand what’s working, what’s failing, and where learners get stuck.
- Treat observability as a product principle and build fast feedback loops (metrics/logs/traces + user journey visibility).
- Make it easy to understand what’s happening in production and in real user experiences.
- Ship fast with an AI‑driven development workflow, using tools like Claude Code or Cursor in an agent‑based workflow.
- Apply strong engineering judgment—scoping, iterating, verifying, and testing—so speed doesn’t compromise quality.
- Participate in an on‑call rotation as part of the DevOps culture, embracing end‑to‑end ownership.
Requirements
- AI harness experience (agentic development)
- Experience using tools such as Claude Code or Cursor in real development work (daily or close to it).
- Ability to describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness.
- Serious software engineering fundamentals
- Ability to ship production‑grade changes and explain trade‑offs.
- Commitment to architecture, maintainability, correctness, and raising the quality bar.
- Grafana context
- Hands‑on experience with Grafana in real environments (dashboards, troubleshooting, on‑call, or monitoring workflows).
- Understanding of observability practices and how Grafana fits into them.
- Approximately 20 % of time will involve communication work: writing clear docs, design notes, PR descriptions, occasional demos, and explaining decisions to internal/external audiences.
Bonus Points
- Meaningful open‑source contribution or maintainer experience.
- Full‑stack experience (strong frontend‑only or backend‑only profiles also welcome).
- Proficiency with TypeScript and/or Go.
- Familiarity with Kubernetes.
- Experience in the broader observability ecosystem (Prometheus, Loki, Tempo, Mimir, OpenTelemetry).
Compensation & Rewards
- Base compensation range (UK): £91,755 – £110,106 (actual amount varies by level, experience, and skillset).
- All roles include Restricted Stock Units (RSUs) to give team members ownership in Grafana Labs’ success.
- Compensation ranges are country‑specific; recruiters will discuss market‑specific pay and benefits for other locations.
Why You’ll Thrive at Grafana Labs
- 100 % remote, global culture with a collaborative, shared‑purpose environment.
- High‑growth, scaling organization offering meaningful work.
- Transparent communication with open decision‑making and regular company‑wide updates.
- Innovation‑driven autonomy and support to ship great work and try new things.
- Open‑source roots and community‑driven values shaping how we work.
- Empowered teams with high trust, low ego, and outcome‑focused culture.
- Defined career growth pathways and opportunities.
- Approachable leadership that is visible and human.
- Passionate, supportive colleagues who care deeply about their work.
- In‑person onboarding to help you thrive from day 1.
- Global annual leave policy of 30 days, plus 3 days reserved for Grafana Shutdown Days to ensure real disconnect.
Equal Opportunity Employer
Grafana Labs recruits, trains, compensates, and promotes regardless of race, religion, color, national origin, gender, disability, age, veteran status, or any other characteristic that makes us unique. Equality and diversity are foundational to our organization’s strength.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually.
Requirements
- You should be strong in at least two of the three areas below:
- AI harness experience (agentic development)
- You’ve used tools like Claude Code or Cursor in real development work (daily or close to it).
- You can describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness.
- Serious software engineering fundamentals
- You can ship production-grade changes and explain tradeoffs.
- You care about architecture, maintainability, correctness, and raising the quality bar (not “vibe coding” alone).
- Grafana context
- You’ve used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows.
- You understand observability practices and how Grafana fits into them.
- You’ll also do a small but meaningful amount of communication work (~20%) which will include writing clear docs, design notes, and PR descriptions, as well as occasionally demo work or explaining decisions to internal/external audiences.
Responsibilities
- Build delightful interactive learning inside Grafana
- Ship features that make learning experiences feel obvious, smooth, and scalable.
- Improve the end-to-end learner experience—from onboarding to completion.
- Enable contribution and authoring (especially for non-engineers): create workflows and product features that let many contributors safely create, iterate on, and improve learning content.
- Support private guides and experiences
- Make completion tracking that actually matters
- Build progress and completion tracking that’s trustworthy, motivating, and useful.
- Instrument learning flows so we can understand what’s working, what’s failing, and where learners get stuck.
- Treat observability as a product principle
- Build fast feedback loops (metrics/logs/traces + user journey visibility) so issues stay shallow.
- Make it easy to understand what’s happening in production and in real user experiences.
- Ship fast with an AI-driven development workflow
- Work daily with tools like Claude Code or Cursor in an agent-based workflow.
- Apply strong engineering judgment—scoping, iterating, verifying, and testing—so speed doesn’t compromise quality.
Benefits
Skills
Don't send a generic resume
Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.
Get started free