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Kỹ sư Backend cấp Staff - Databases Analytics, Tây Ban Nha tại Grafana Labs

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Grafana Labs tuyển kỹ sư backend cấp staff - databases analytics, tây ban nha tập trung vào cơ sở dữ liệu backend và hệ thống phân tích.

Grafana Labs logoGrafana Labs
Địa điểm
Từ xa
Khu vực tuyển dụng
Spain (Làm việc từ xa)
Hình thức làm việc
remote
Công nghệ
AWS, Azure, GCP

Chưa xác nhận tin tuyển dụng này còn mở. Kiểm tra tại nguồn trước khi ứng tuyển.

Tổng quan vị trí

The Staff Backend Engineer - Databases Analytics | Spain | Remote opening at Grafana Labs is centered on Design, build and operate production systems for backend databases and analytics systems. The employer also lists Collaborate with customers, product and engineering teams. and Improve reliability, performance, testing, automation and documentation. These responsibilities define the practical scope more clearly than the job title: applicants should be ready to explain what they have built, supported or delivered that relates directly to this work. The listing summary says: Grafana Labs is hiring a staff backend engineer - databases analytics, spain focused on backend databases and analytics systems. The named technologies include AWS, Azure, GCP.

The posting identifies Relevant professional experience in support, observability, backend or database engineering. and Strong systems thinking, troubleshooting and communication skills. as relevant qualifications. Candidates should connect these requirements to evidence from their own work, including their individual contribution, technical decisions and outcomes. The listing describes the work arrangement as remote and gives the location as Spain (Remote). Confirm country eligibility, travel, employment terms and any details absent from this summary directly with Grafana Labs before applying. This overview is based on the employer-provided posting; it does not infer team structure or expectations that the source does not state.

Trách nhiệm

  • Thiết kế, xây và vận hành hệ thống production cho cơ sở dữ liệu backend và hệ thống phân tích.
  • Phối hợp với khách hàng, sản phẩm và kỹ thuật.
  • Cải thiện độ tin cậy, hiệu năng, kiểm thử, tự động hóa và tài liệu.
  • Chuyển yêu cầu kỹ thuật thành dịch vụ và kết quả dễ bảo trì.

Yêu cầu

  • Có kinh nghiệm chuyên môn về hỗ trợ, observability, backend hoặc kỹ thuật cơ sở dữ liệu.
  • Tư duy hệ thống, xử lý sự cố và giao tiếp tốt.
  • Có khả năng làm việc hiệu quả trong môi trường remote phân tán.

Công nghệ trong công việc

  • AWS: The named technologies include AWS, Azure, .
  • Azure: The named technologies include AWS, Azure, .
  • GCP: The named technologies include AWS, Azure, .
  • Grafana: The Staff Backend Engineer - Databases Analytics | Spain | Remote opening at Grafana Labs is centered on Design, build and operate production systems for backend databases and analytics .

Hướng dẫn đánh giá mức độ phù hợp (tiếng Anh)

Phân tích dựa trên yêu cầu và trách nhiệm trong tin tuyển dụng của nhà tuyển dụng.

Understanding the scope. This Staff Backend Engineer - Databases Analytics | Spain | 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: “The Staff Backend Engineer - Databases Analytics | Spain | Remote opening at Grafana Labs is centered on Design, build and operate production systems for backend databases and analytics systems. The employer also lists…” 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 production systems for backend databases and analytics systems.”; “Collaborate with customers, product and engineering teams.”; “Improve reliability, performance, testing, automation and documentation.”. 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 “Relevant professional experience in support, observability, backend or database engineering.”; “Strong systems thinking, troubleshooting and communication skills.”; “Ability to work effectively in a remote, distributed environment.”. 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 AWS, Azure, GCP. 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.

Phúc lợi

  • Hình thức remote và giới hạn quốc gia theo tin đăng chính thức.
  • Cơ hội làm việc trên sản phẩm observability, cloud và hạ tầng developer.

Về Grafana Labs

Grafana Labs phát triển phần mềm và dịch vụ cho quy trình cloud và observability hiện đại.

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Nguồn được kiểm tra: 2026-10-01

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