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# Staff Software Engineer - Databases SRE | Ireland | Remote

- **Company:** Grafana Labs
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $117,600.0 - $141,120.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Build Automation, Microsoft Azure, Cloud Storage, Databases, Distributed Systems, Object-Oriented Software Development, Open Source Technology, Reliability Engineering, Prometheus, Software Engineering, Grafana, Kubernetes, Infrastructure Automation Frameworks, Production Code, Free and Open-Source Software, Terraform
- **Published:** October 21, 2026
- **Apply:** https://www.thejobnetwork.com/job/d115d9e2-d2b9-43f6-9ab7-6824abf99e99/staff-software-engineer-databases-sre-ireland-remote

## About the Role

- **Build reliability into the product.** Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly.
- **Build automation and platform tooling** that removes toil and scales our reliability practices across regions and cloud providers.
- **Lead technical design.** Author design docs, review others' designs and PRs, and shape feature design so it's scalable and operable from day one.
- **Own the SLO framework.** Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves.
- **Improve observability and alerting** so we find problems before customers do, and so escalations are actionable rather than noisy.
- **Be on call for our highest-SLA customers.** Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes.
- **Handle the operational work that comes from on-call.** This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation.
- **Multiply the team.** Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy.
- We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!)
, - 8+ years of software engineering experience, including significant time building and owning distributed systems in production.
- Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn't write.
- Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does.
- Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet.
- Hands-on experience designing and implementing SLOs.
- Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you've taken part in blameless incident response and written high-quality post-incident reviews.
- Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better.
- Working knowledge of Linux internals, networking and cloud storage.
, - Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases.
- Open-source contributions.
- Customer reliability engineering (CRE) or customer-facing escalation experience.1


## Description

Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You'll take a weekend roughly once every six to eight weeks.

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_Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings._

#LI-Remote

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