Software Engineer - Synthetic Monitoring | UK | Remote

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 .

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 located in Spain, Sweden, UK, Ireland or Germany. 

Software Engineer - Synthetic Monitoring

The Opportunity:

The Synthetic Monitoring squad builds and operates Grafana Cloud Synthetic Monitoring , used by teams globally to proactively verify that their critical user journeys, APIs, and services work as expected - before their customers notice they don't.

Synthetic Monitoring is a multi-tenant distributed system implemented in Go, running on Kubernetes across all major cloud providers (AWS, GCP, Azure), executing billions of synthetic tests each month from probe locations around the world and from customer-operated private probes.

The product is in a scale phase, and our focus is on making Synthetic Monitoring a deeply integrated part of Grafana Cloud: connecting checks to real user experience and cross-product investigation workflows, making check results a trusted signal for AI-assisted workflows, and enabling large organizations to operate the product at enterprise scale on our infrastructure and on their own private probes.

The role is full-stack in the real sense: the same engineer who designs how a check execution flows through scheduling, probes, and the telemetry pipeline should also be able to build the workflow that lets a user understand and act on the result.

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 the United Kingdom, the Base compensation range for this role is GBP 72 ,000 - GBP 90 ,000 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here .

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

100% Remote, Global Culture -  As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.

Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.

Transparent Communication – Expect open decision-making and regular company-wide updates.

Innovation-Driven – Autonomy and support to ship great work and try new things.

Open Source Roots – Built on community-driven values that shape how we work.

Empowered Teams – High trust, low ego culture that values outcomes over optics.

Career Growth Pathways – Defined opportunities to grow and develop your career.

Approachable Leadership – Transparent execs who are involved, visible, and human.

Passionate People – Join a team of smart, supportive folks who care deeply about what they do.

In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. 

Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

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