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Remote Grafana Jobs (NOW HIRING)

Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With ... We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by ...

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Remote Grafana information

How do Remote Grafana professionals typically collaborate with distributed teams to monitor and troubleshoot system performance?

Remote Grafana professionals often work closely with DevOps engineers, system administrators, and developers across different locations to ensure effective monitoring and visualization of system metrics. Collaboration is usually facilitated through digital communication platforms, shared dashboards, and real-time alerting systems. Regular virtual meetings and documentation help keep everyone aligned on monitoring strategies and incident response. Being proactive in communication and sharing insights from Grafana dashboards are key to identifying and addressing performance issues quickly in a remote environment.

What are the key skills and qualifications needed to thrive as a Remote Grafana Engineer, and why are they important?

To thrive as a Remote Grafana Engineer, you need expertise in data visualization, monitoring concepts, and experience with Grafana and time-series databases, typically supported by a background in computer science or IT. Familiarity with tools like Prometheus, Elasticsearch, cloud platforms, and Grafana plugins, as well as relevant certifications, is highly valuable. Strong problem-solving abilities, self-motivation, and effective remote communication skills set candidates apart in this role. These skills ensure you can deliver insightful monitoring solutions, collaborate efficiently from a distance, and maintain high system reliability.

What is the difference between Remote Grafana vs Remote Data Analyst?

AspectRemote GrafanaRemote Data Analyst
Required CredentialsKnowledge of data visualization tools, Grafana certifications (optional)Degree in Data Science, Statistics, or related field; often certifications in data analysis
Work EnvironmentPrimarily technical, focusing on dashboard creation and monitoringAnalytical, involving data interpretation and reporting
Industry UsageIT, DevOps, Business IntelligenceFinance, Marketing, Healthcare, Business Intelligence
Common Search/ComparisonYesYes

Remote Grafana specialists focus on creating and managing data dashboards using Grafana, primarily in technical and IT environments. Remote Data Analysts interpret data to inform business decisions across various industries. While both roles involve working with data, Grafana roles are more technical and visualization-focused, whereas Data Analysts emphasize data interpretation and reporting.

What are Remote Grafana jobs?

Remote Grafana jobs are positions that involve working with Grafana, a popular open-source platform for monitoring and observability, from a remote location rather than an in-person office. Professionals in these roles typically set up dashboards, integrate data sources, and create visualizations to help organizations monitor their infrastructure, applications, or business metrics. Remote Grafana jobs can include roles like DevOps engineer, site reliability engineer, or data analyst. These positions require a solid understanding of Grafana, monitoring tools, and sometimes related technologies like Prometheus or Loki. Working remotely provides flexibility but also requires strong communication skills and self-motivation.
More about Remote Grafana jobs
What cities are hiring for Remote Grafana jobs? Cities with the most Remote Grafana job openings:
What are the most commonly searched types of Grafana jobs? The most popular types of Grafana jobs are:
What states have the most Remote Grafana jobs? States with the most job openings for Remote Grafana jobs include:
Infographic showing various Remote Grafana job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 1% Internship, 2% As Needed, 12% Full Time, 80% Part Time, and 3% Temporary. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution.
Engineering Manager, Observability Dept | USA EST | Remote

Engineering Manager, Observability Dept | USA EST | Remote

Grafana Labs

OR โ€ข Remote

Other

Posted 11 days ago


Job description

This is a remote position. We are looking for candidates in the NASA (EST-only) or EMEA time zones.

What is Grafana Cloud?

Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software - including Prometheus, Mimir, Loki, Tempo, and Pyroscope - without the overhead of installing, maintaining and scaling their own observability stack.

The Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it.

What is Grafana Alloy?

Alloy is a distribution of the OpenTelemetry collector. Its purpose is to collect, process, and export telemetry signals at scale. Alloy combines the strength of leading ecosystems like OpenTelemetry, Prometheus, Loki, Pyroscope, and more. Alloy is an open source project that is maintained on Github.

What You'll Be Doing:

  • Manage and develop the team of Alloy engineers, providing regular feedback and supporting each person's growth through career conversations. This is a remote team, distributed between EMEA and NASA.
  • Support the Alloy team on their path to closer collaboration with the OpenTelemetry collector community. Address roadblocks.
  • Collaborate closely with go-to-market to ensure customers and prospects are successful with their Alloy journey.
  • Work closely with product and engineering leadership to ensure Alloy fits seamlessly into the end-to-end user experience for Grafana cloud products.
  • Provide guidance throughout the project lifecycle from early ideation through planning, execution and postlaunch guiding the team to deliver highquality results consistently.
  • Foster a psychologically safe environment where engineers can learn, experiment and iterate quickly, encouraging innovation and a culture of continuous improvement.
  • Work across team boundaries by contributing to projects outside your team's scope and partnering with other functions to solve customer problems.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.ย 

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups-always paired with strong code review and quality standards. You'll also have access to frontier models (e.g., GPT-Codex 5.4, Claude Opus 4.7, Gemini 3 Pro).

What are we looking for in you?ย 

  • You should have enough domain knowledge in observability and OpenTelemetry to manage a team that will collaborate closely with the OpenTelemetry collector community.
  • You will be comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, be it technical or product focused.
  • While you're great with people and adept at managing relationships, you still keep up-to-date with the latest technical trends and shifts in order to maintain and enhance your understanding of the challenges your teams face.
  • Comfortable collaborating across time zones and cultures in a fully remote environment, using clear, empathetic communication to build trust, connection, and psychological safety.
  • Demonstrated ability to manage complexity, align stakeholders, and elevate team performance to deliver meaningful, high-quality results.
  • Deeply customer-focused, consistently grounding decisions and technical choices in user needs and real-world impact.
  • Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, and observability.
Comfort with AI-assisted tooling.ย  We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered tools and ideally have practical experience folding them into a team's workflow.
In the US, the Base compensation range for this role is USD 183,000 - USD 220,000.ย  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listedย here.

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