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Staff Alerting Backend Engineer at Grafana Labs

Confirmed open

Build distributed alerting services for Grafana and Prometheus, including evaluation, delivery and cloud operations. The employer lists Germany (Remote).

Grafana Labs logoGrafana Labs
Location
Remote
Advertised region
Germany (Remote)
Work arrangement
remote
Technologies
Python, Java, C++, Go

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Role overview

Grafana’s Alerting team develops alert management for the open-source product and Grafana Cloud. The backend work includes scaling Prometheus-based alert ingestion, delivery and evaluation for critical systems. These postings name specific European remote locations.

Responsibilities

  • Design, build and operate distributed systems that ingest, evaluate and deliver alerts at scale.
  • Make alert setup and delivery consistent across Grafana-managed and Prometheus-based alerts.
  • Own critical service performance, availability and on-call response.
  • Take features from concept to production, learn from customer use and improve the product.
  • Mentor engineers, contribute to design discussions and participate in open-source work.

Qualifications

  • Strong software engineering in Go or a transferable language such as Python, Java, C++ or Rust.
  • Experience delivering maintainable, performant cloud or systems software independently.
  • Customer focus, sound engineering tradeoffs and the ability to break ambiguous problems into short iterations.
  • Clear communication and collaboration within a fully remote engineering team.

Technology in this role

  • Python: Strong software engineering in Go or a transferable language such as Python, Java, C++ or .
  • Java: Strong software engineering in Go or a transferable language such as Python, Java, C++ or .
  • C++: Strong software engineering in Go or a transferable language such as Python, Java, C++ or .
  • Go: Strong software engineering in Go or a transferable language such as Python, Java, C++ or .
  • C: Strong software engineering in Go or a transferable language such as Python, Java, C++ or .
  • Rust: Strong software engineering in Go or a transferable language such as Python, Java, C++ or .
  • Prometheus: The backend work includes scaling Prometheus-based alert ingestion, delivery and evaluation for critical .
  • Grafana: Grafana’s Alerting team develops alert management for the open-source product and Grafana .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This Staff Backend Engineer - Alerting | Germany | Remote position at Grafana Labs is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “Grafana’s Alerting team develops alert management for the open-source product and Grafana Cloud. The backend work includes scaling Prometheus-based alert ingestion, delivery and evaluation for critical systems. These…” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the software engineering area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.

What the responsibilities signal. The posting specifically names “Design, build and operate distributed systems that ingest, evaluate and deliver alerts at scale.”; “Make alert setup and delivery consistent across Grafana-managed and Prometheus-based alerts.”; “Own critical service performance, availability and on-call response.”. For each duty, identify a project where you performed comparable work and be ready to describe the context, your own contribution, constraints, decisions, and measurable result. Explain how you moved from the initial need to implementation, review, release or operational follow-through, where those stages apply. If the work involved other teams or users, distinguish your decisions from the group’s contribution. Avoid presenting a technology keyword as proof by itself: connect it to the problem you solved, the scale or complexity involved, and what changed after your work. The source may contain additional duties; review it directly before preparing your application.

How to read the requirements. The listed qualifications include “Strong software engineering in Go or a transferable language such as Python, Java, C++ or Rust.”; “Experience delivering maintainable, performant cloud or systems software independently.”; “Customer focus, sound engineering tradeoffs and the ability to break ambiguous problems into short iterations.”. Mark each requirement as demonstrated, adjacent experience or a genuine gap, then use a concise example for the first two categories. A strong example explains what you personally owned, how you made trade-offs, how you validated the result and what you learned. If the posting specifies years of experience, language ability, certifications, location or eligibility, address those facts plainly in your CV or application rather than relying on the employer to infer them. Do not claim a qualification from exposure alone. For a requirement you do not meet, describe relevant transferable experience accurately and ask the recruiter whether it is mandatory.

Technology and working evidence. The technology terms associated with this listing are Python, Java, C++, Go. Treat this as a set of posting-derived signals, not a guarantee that every tool is used daily or that the list is complete. For each term relevant to your experience, prepare one concrete example: the system or workflow, the part you owned, the alternatives considered, and how you tested reliability, security, performance or usability as appropriate. If you have not used a named tool, explain the closest related system.

About Grafana Labs

Grafana Labs develops Grafana Cloud and open-source observability software that helps teams examine metrics, logs and traces. The employer describes itself as a fully remote company.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply

Source checked: 2026-10-16

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