Software Engineer, Grafana Labs

• You enjoy working with engineers, as well as with the management structures that are there to support you and enable you and your team to do your very best
• You are comfortable working in a remote-first company; communication is key. For us, working together means being collaborative, friendly, kind, and respectful. We operate by consensus, you can contribute to a discussion but then commit to the team decision
• As such, being such a highly distributed company, means we would love someone who is keen on working with distributed systems, too
• You are eager to learn and grow. There is a lot of room for growth and development, and the team has quite a lot of knowledge to share for those who are wanting to learn
• You approach development holistically. The team owns the full life cycle of our code; from writing design docs, to looking at developer feedback, and integration testing. We appreciate engineers who enjoy looking at the big picture, and also notice the details of the brush strokes. The Platform team mainly works with Go, Python, and Shell
• You have experience with operating your code. Since a lot of operators and developers use our software, having some grounding in both of these spaces really helps us with building better platforms for our users

Desirable

• We’re hiring for our Platform InfraSec squad
• This squad owns the automation and decision making around our underlying CSP and compute security features for Grafana Cloud
• This includes cloud service provider IAM, Kubernetes RBAC, secret management, and workload security
• We’re hands on with writing and shipping code as we aim to simplify secure decision making for engineers by providing pre-configured, secure templates and embedding security best practices into our development tools
• We also help the rest of our engineers contributing to Grafana Cloud make the best security decisions possible for all the products we build, through security reviews and advisory
• 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)
• A few of our upcoming projects:
• Strengthening access controls and enhancing developer experience by providing safer defaults
• Streamlining Just In Time Access through IAM and RBAC change process and automation
• Improving Cluster and Node level Security Posture and Observability