Senior Software Engineer - Grafana k6 | United Kingdom | Remote

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 -- including Bloomberg, JPMorgan Chase, and eBay -- 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.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career‑defining opportunity.

This is a remote opportunity and we would be interested in applicants from US timezones.

At k6, we build reliability and performance testing tools for developers and QA engineers. Grafana k6 is an open‑source project focused on making performance testing practical, approachable, and useful in real‑world engineering workflows. We care deeply about developer experience, correctness, and scalability. k6 is part of the Grafana ecosystem and is used by engineers to test and understand systems under real load.

You will join a team of engineers responsible for building and maintaining k6, a performance testing tool written in Go. The team also maintains the open‑source project, which means working directly on the product, the codebase, and with the community using it. In this role, you will work on features and improvements across the k6 codebase, from initial idea through implementation and delivery.

Much of the work involves problems that are not fully specified up front and require understanding the context, evaluating trade‑offs, and choosing a reasonable technical approach.

You will work with a high degree of independence while collaborating closely with other engineers on design, implementation, and code reviews. You are expected to deliver production‑quality code, maintain existing functionality, and help keep the system reliable and maintainable over time. Some work may involve the k6 cloud offering, which builds on top of k6 to run distributed tests across data centers worldwide.

This includes Go services that support distributed execution and require careful attention to performance, correctness, and failure modes.

Because the team is small, your work will have a direct and visible impact on the product and its users. You will work alongside experienced engineers in an environment that values clarity, pragmatism, and sound engineering judgment. We start with problems, not prescriptions. Engineers are expected to understand the constraints, propose a pragmatic design, and carry the work through to delivery.

We move deliberately and release on a regular cadence of roughly every six weeks. Between releases, we focus on small, safe, incremental changes.

Work is asynchronous by default, with decisions captured in pull requests and short design notes. Meetings are used for alignment rather than status updates. Code reviews focus on correctness, long‑term maintainability, and user impact. When trade‑offs are required, we aim to make them explicit and reversible. The team owns the product end to end, including architecture, releases, user‑facing behavior, and the health of the open‑source project.

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…