At a Glance
- Tasks: Own and operate critical infrastructure for Grafana Cloud's next-gen database products.
- Company: Join Grafana Labs, a remote-first open-source leader with 20M+ users worldwide.
- Benefits: Enjoy competitive salary, remote work flexibility, and a budget for AI coding tools.
- Other info: Be part of a dynamic team with excellent career growth opportunities.
- Why this job: Make a real impact on innovative database solutions while working with cutting-edge technology.
- Qualifications: Experience in software engineering and strong communication skills are essential.
The predicted salary is between 60000 - 80000 £ per year.
Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. Grafana Labs also helps more than 3,000 companies manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).
This is a remote opportunity and we would be interested in applicants living in UK time zones only at this time.
The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). As a Senior Engineer on Managed Services, you will take ownership of running these systems in production.
- Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure.
- Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance.
- Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design.
- Improving the diagnosability of core streaming and database systems in production, where possible.
- Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure.
- Developing fault-tolerant patterns.
As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. You can use modern AI coding assistants as part of your daily workflow, 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.
