Senior Software Engineer - Grafana Databases, Managed Services | UK | Remote in London

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. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. 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).

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

This is a remote opportunity and we would be interested in applicants living in UK time zones only at this time.

The Opportunity:

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). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behaviour, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbours, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behaviour, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.

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. This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

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 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• 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.