Backend Engineer, Observability Ingest
@ Grafana Labs

Hybrid
$130,000
Hybrid
Full Time
Posted 23 days ago

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XXXXXXXX XXXXXXXXXXX XXXXXXX***** @grafana.com
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Job Details

Overview

Grafana Labs, a remote-first open-source powerhouse with over 20M users, is seeking a Backend Engineer, Observability Ingest. This role focuses on streamlining the transport of Metrics, Logs, Traces and Profiles to Grafana Cloud and OSS tools by delivering reliable, scalable ingestion pipelines.

The Opportunity

You will work on key components including Fleet Management, Kubernetes Monitoring Helm Chart, and the Frontend Observability ingestion pipeline. Collaborate with various teams and open source communities to tailor the delivery of Observability signals.

Projects and Responsibilities

  • Develop and maintain essential systems ensuring performance and availability
  • Lead projects from concept to implementation including ongoing support
  • Actively contribute to open source projects like Grafana Alloy and OpenTelemetry Collector
  • Support on-call rotation and mentor team members

What Makes a Great Fit

We value a motivated self-starter with strong collaboration, a passion for intuitive product design, and solid experience in programming (Go, Python, C/C++, or Rust). Prior exposure to cloud systems, on-call operations, and Kubernetes is essential. Excellent communication skills in a remote environment are a must.

Compensation & Benefits

In Canada, the base compensation range is CAD 120,000 to 151,000. Roles include Restricted Stock Units (RSUs), global remote culture, career growth, and additional benefits like generous leave policies and in-person onboarding.

Key skills/competency

  • Backend Engineering
  • Observability
  • Go
  • Cloud
  • Kubernetes
  • Open Source
  • Microservices
  • Systems Engineering
  • On-call
  • Collaboration
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How to Get Hired at Grafana Labs

🎯 Tips for Getting Hired

  • Customize your resume: Highlight backend, cloud, and open source skills.
  • Showcase relevant projects: Detail experience with Kubernetes and observability tools.
  • Prepare coding samples: Emphasize Go and system design work.
  • Practice communication: Demonstrate remote collaboration skills.

📝 Interview Preparation Advice

Technical Preparation

Review Go and cloud system design.
Study Kubernetes and Helm chart deployment.
Practice building scalable backends.
Revisit observability tools and logging.

Behavioral Questions

Describe remote collaboration experiences.
Explain handling on-call challenges.
Discuss teamwork on complex projects.
Share experiences of iterative development.

Frequently Asked Questions