Staff Software Engineer - Grafana Cloud K6 | Ireland | Remote

Grafana Labs

Ireland
Base: eur 117,600 - eur 141,120; bonus/equity: equ...
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Designing large-scale distributed systems
Strong sre practices experience
Defining slis/slos and error budgets
** Grafana Labs is seeking a Staff Software Engineer for their Grafana Cloud k6 team in a fully remote position. The ideal candidate will have a strong programming background, experience with large-scale distributed systems, and a solid understanding of Site Reliability Engineering (SRE) practices. **

Job Summary

  • This role focuses on establishing a cross-team culture of engineering excellence by defining standards for reliability and operational ownership.
  • The team builds and operates Grafana Cloud k6, enabling customers to run distributed performance tests from 15+ regions worldwide.
  • Grafana Labs offers a remote-first environment with modern AI coding assistants and a company-funded budget for developer productivity tools.

Matching Summary

Match Score: 75

** Grafana Labs is seeking a Staff Software Engineer for their Grafana Cloud k6 team in a fully remote position. The ideal candidate will have a strong programming background, experience with large-scale distributed systems, and a solid understanding of Site Reliability Engineering (SRE) practices. **

Salary

Base: EUR 117,600 - EUR 141,120; Bonus/Equity: Equity included, bonus if applicable; Benefits: Other benefits listed on careers page

Skills & Requirements

Must-have

  • Designing large-scale distributed systems
  • Strong SRE practices experience
  • Defining SLIs/SLOs and error budgets
  • Incident response and post-incident reviews
  • Hands-on coding in Python or Go

Nice-to-have

  • Experience with containerized cloud-native systems
  • Familiarity with Grafana observability stack
  • Interest in building developer tooling
  • Event-driven or asynchronous system experience
  • Pragmatic AI-assisted development usage

Key Requirements

  • Strong programming background in Python or Go
  • Experience operating production systems at scale
  • Understanding of failure modes and observability
  • Ability to influence engineering practices collaboratively

Work Rights

Not specified

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