Staff Backend Engineer, Data Intelligence at Grafana Labs

Closed

Build ingestion, indexing and retrieval services for Grafana’s governed enterprise context platform for AI agents. The employer lists Germany (Remote).

Grafana Labs

Location: Remote
Advertised region: Germany (Remote)
Work arrangement: remote
Technologies: AWS, Azure, GCP

Create a free application profile — Keep your skills and projects in a reusable profile. Private by default; you choose when to share. Apply for this job directly with the employer.

This opening is not confirmed as active. Check the employer source before applying.

Role overview

This staff backend role builds production services for a new context layer that helps people and AI agents use enterprise data with provenance and governance. The team is moving from internal prototypes to a multi-tenant SaaS service. Each posting names a European remote hiring country.

Responsibilities

Design, test and operate services for context ingestion, indexing, retrieval and source configuration.
Build a multi-tenant foundation with tenant isolation, quotas, usage tracking, audit logs and background jobs.
Expose context, provenance and confidence signals through APIs used by AI agents, MCP tools and applications.
Instrument services with metrics, logs, traces and alerts and improve their production reliability.
Shape architecture, storage and API decisions while balancing rapid experimentation with maintainability.

Qualifications

Experience shipping production software and driving technical decisions in loosely defined projects.
Practical work with LLMs, prompt engineering or applications powered by generative AI.
Ability to prototype, gather feedback and collaborate across teams.
Cloud-native experience on AWS, GCP or Azure and observability tools for troubleshooting.
Agent frameworks, data platforms or data-engineering tools are additional strengths.

Technology in this role

AWS: Cloud-native experience on AWS, GCP or Azure and observability tools for .
Azure: Cloud-native experience on AWS, GCP or Azure and observability tools for .
GCP: Cloud-native experience on AWS, GCP or Azure and observability tools for .

Role-specific candidate guide

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

Understanding the scope. This Staff Backend Engineer - Databases - Analytics | 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: “This staff backend role builds production services for a new context layer that helps people and AI agents use enterprise data with provenance and governance. The team is moving from internal prototypes to a…” 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, test and operate services for context ingestion, indexing, retrieval and source configuration.”; “Build a multi-tenant foundation with tenant isolation, quotas, usage tracking, audit logs and background jobs.”; “Expose context, provenance and confidence signals through APIs used by AI agents, MCP tools and applications.”. 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 “Experience shipping production software and driving technical decisions in loosely defined projects.”; “Practical work with LLMs, prompt engineering or applications powered by generative AI.”; “Ability to prototype, gather feedback and collaborate across teams.”. 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 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 you have worked with and how you would ramp up; do not relabel that experience as direct production use. If the source describes technologies beyond this list, prioritize its exact wording.

Evidence to put in the application. Tailor the first half of your CV to the named work instead of using a generic.

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

Check the original posting to confirm the role is still open before applying.

Check employer posting

Source checked: 2026-10-16

Browse job categories

AWS Backend developer jobs in Vietnam