Senior Software Engineer, Grafana Labs

• Strong experience building production software in Go, or another language with good support for concurrency and parallelism
• Experience working on larger or long-lived codebases
• The ability to work independently on scoped problems and deliver them to completion
• Clear technical communication skills, especially in code reviews and design discussions
• A good understanding of internet protocols such as HTTP, gRPC, and WebSockets, with some familiarity with lower-level networking concepts
• Experience with modern development practices, including testing, code review, and iterative development

Desirable

• 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 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