Staff Backend Engineer, Analytics at Grafana Labs (United States)

Confirmed open

Build the first production services for an observability context layer, including ingestion, retrieval APIs, multitenant SaaS and agent-facing interfaces. This posting lists United States as its remote location.

Grafana Labs

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

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Role overview

A new Grafana Labs team is developing a context-management layer that makes observability information usable by people and AI-assisted tools. The staff engineer owns core backend architecture as the product moves from prototype to reliable production service.

Responsibilities

Build services for context ingestion, indexing, retrieval orchestration, source configuration and administration.
Design a multitenant SaaS foundation with isolation, usage tracking, quotas, audit logs and background jobs.
Create APIs for agents, MCP tools and applications to retrieve context, provenance and confidence signals.
Instrument services with metrics, logs, traces, alerts and dashboards and operate them in production.
Set service boundaries and deployment patterns while balancing experimentation with long-term reliability.

Qualifications

Experience building production software used by real customers and taking ownership in ambiguous work.
Practical understanding of AI applications, LLMs or agent workflows rather than prototype-only experience.
Cloud-native systems experience on AWS, Google Cloud or Azure and observability for production services.
Ability to iterate from feedback and collaborate across product and infrastructure teams.
Data platforms, retrieval systems, analytics or data-engineering tools are useful additional background.

Technology in this role

AWS: Cloud-native systems experience on AWS, Google Cloud or Azure and observability for production .
Azure: Cloud-native systems experience on AWS, Google Cloud or Azure and observability for production .
GCP: • Exposure to working in cloud-native environments (e.g., AWS, GCP, .
Snowflake: • Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, .
Databricks: • Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, .
Google Cloud: Cloud-native systems experience on AWS, Google Cloud or Azure and observability for production .
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 .
Grafana: A new Grafana Labs team is developing a context-management layer that makes observability information usable by people and AI-assisted .

Role-specific candidate guide

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

Understanding the scope. This Staff Backend Engineer - Analytics | US | 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: “A new Grafana Labs team is developing a context-management layer that makes observability information usable by people and AI-assisted tools. The staff engineer owns core backend architecture as the product moves from…” 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 “Build services for context ingestion, indexing, retrieval orchestration, source configuration and administration.”; “Design a multitenant SaaS foundation with isolation, usage tracking, quotas, audit logs and background jobs.”; “Create APIs for agents, MCP tools and applications to retrieve context, provenance and confidence signals.”. 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 building production software used by real customers and taking ownership in ambiguous work.”; “Practical understanding of AI applications, LLMs or agent workflows rather than prototype-only experience.”; “Cloud-native systems experience on AWS, Google Cloud or Azure and observability for production services.”. 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.

Benefits

Grafana Labs describes remote work, stock units, in-person onboarding and a 30-day annual leave policy, subject to local law. Compensation ranges and additional benefits are country specific and appear on each employer posting.

About Grafana Labs

Grafana Labs develops Grafana Cloud and open-source observability tools for metrics, logs, traces and profiles. The company describes itself as remote first.

Employer website

How to apply

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

View source and apply

Source checked: 2026-10-13

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