Software Engineer - Synthetic Monitoring | Spain | Remote

About this role

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Software Engineers who are passionate about building reliable systems and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks. *What you'll be doing:** As a Software Engineer on the Synthetic Monitoring squad, you will work across the whole system - Go services and agents on the backend, a TypeScript/React application on the frontend and you'll be expected to reason about it as one system, not two halves. Specifically, you will: **Own features end-to-end across the stack**: from API and data model design in Go, through the execution pipeline, to the user-facing workflows in TypeScript/React **Design and evolve systems, not just features**: contribute to architectural decisions on scheduling, probe lifecycle, telemetry ingestion, and API design that shape how the product scales **Build the cross-product and AI-assisted workflows** that connect Synthetic Monitoring to the wider Grafana Cloud platform **Make the product operable at enterprise scale**: the governance and organization primitives that let teams with hundreds of checks manage Synthetic Monitoring as code and with confidence **Break down complex, ambiguous problems into incremental deliverables** and iterate quickly based on feedback **Ensure quality through testing, observability of your own systems, and documentation**: our checks are something customers alert on, so reliability is a feature **Be a part of the team's on-call rotation** and take ownership of the services you're running 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 with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. *Technologies you'll work with:** Go (backend services, APIs, and the synthetic monitoring agent) TypeScript / React (the Synthetic Monitoring app in Grafana) Kubernetes across AWS, GCP, and Azure k6 (the execution engine behind scripted and browser checks) Grafana ecosystem (Mimir, Loki, Prometheus) *What Makes You a Great Fit:** 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, disagree constructively, and commit to the team's decision. You are able to communicate design decisions clearly in written and spoken English. **Strong Go, or a path to it.** We build Synthetic Monitoring in Go. Deep experience building and operating production backend systems in another systems language (Rust, Java, C++) translates well; backend experience limited to JavaScript/Node.js runtimes does not. **Operational mindset.** You've run what you've built: you've owned production services, understand what it means to carry a pager, and treat reliability and toil reduction as part of the product. You are a **systems thinker**: you reason about how components interact - data flow, failure modes, cost, and operational behavior - not just how a single feature works in isolation. **Pragmatism and short feedback loops.** You break complex problems into increments: analyze, design, deliver an MVP, learn, iterate. You are able to design a solution, get feedback, and write a prototype by yourself - the ability to work on your own is crucial. You have a good understanding of **a software development process that takes a user-centered approach**. You easily build an understanding of the users' context and goals which will help you build the right solution with the maximum value. You use **AI tools as a natural part of your engineering workflow** - whether for accelerating exploration, code review, or reasoning through design tradeoffs - and you're thoughtful about where they help and where they don't. *Bonus Points For:** Experience designing or operating multi-tenant SaaS systems at scale Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.) Experience with Kubernetes in a production environment Familiarity with k6, Playwright, or browser automation at scale Experience contributing to or maintaining open source projects *Compensation & Rewards:** In Spain, the Base compensation range for this role is EUR 65 ,000 - EUR 81 ,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in ...