Staff Field Engineer, Observability at Grafana Labs

Role overview

Grafana’s Field Engineering group supports solution engineers with technical systems, training and deep product expertise. This staff role advises strategic customer projects, builds demonstration infrastructure and creates reusable observability guidance. The postings list specific European remote locations.

Responsibilities

• Advise solution engineers and customers on complex Grafana Platform and observability architecture.
• Build reference designs and maintain secure, reliable demo and workshop environments.
• Create and update technical workshops, guides and demo scripts in line with product changes.
• Present technical material at customer or community events and contribute documentation and product feedback.
• Mentor field and solution engineers and help resolve difficult adoption problems.

Qualifications

• At least eight years of related technical work, including two or more years in a senior field engineering or comparable role.
• Deep Grafana knowledge plus observability tools such as Loki, Prometheus, Tempo, Elastic, Splunk or Datadog.
• Ability to program, debug, work on Linux and design cloud applications on AWS, Azure or GCP using Kubernetes, containers and infrastructure as code.
• A record of building technical training or demos for others and working with product teams on customer needs.
• Experience applying AI tools while reviewing their output and clear communication in complex technical engagements.

Technology in this role

• AWS: AWS Azure GCP Kubernetes Docker .
• Azure: AWS Azure GCP Kubernetes Docker .
• GCP: AWS Azure GCP Kubernetes Docker .
• Kubernetes: AWS Azure GCP Kubernetes Docker .
• Docker: AWS Azure GCP Kubernetes Docker .
• Linux: AWS Azure GCP Kubernetes Docker .
• Terraform: • Able to architect a modern application on one of the primary cloud providers (AWS, Azure or GCP), including IaC tools such as Terraform, understanding the tradeoffs between build .
• CAN: Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, .
• Salesforce: Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana .
• Prometheus: Deep Grafana knowledge plus observability tools such as Loki, Prometheus, Tempo, Elastic, Splunk or .
• Grafana: Grafana’s Field Engineering group supports solution engineers with technical systems, training and deep product .
• Datadog: Deep Grafana knowledge plus observability tools such as Loki, Prometheus, Tempo, Elastic, Splunk or .
• Splunk: Deep Grafana knowledge plus observability tools such as Loki, Prometheus, Tempo, Elastic, Splunk or .

Role-specific candidate guide

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

Understanding the scope. This Staff Field Engineer | Netherlands | 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 Field Engineering group supports solution engineers with technical systems, training and deep product expertise. This staff role advises strategic customer projects, builds demonstration infrastructure and…” 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 technical 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 “Advise solution engineers and customers on complex Grafana Platform and observability architecture.”; “Build reference designs and maintain secure, reliable demo and workshop environments.”; “Create and update technical workshops, guides and demo scripts in line with product changes.”. 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 “At least eight years of related technical work, including two or more years in a senior field engineering or comparable role.”; “Deep Grafana knowledge plus observability tools such as Loki, Prometheus, Tempo, Elastic, Splunk or Datadog.”; “Ability to program, debug, work on Linux and design cloud applications on AWS, Azure or GCP using Kubernetes, containers and infrastructure as code.”. 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.

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.

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