At a Glance
- Tasks: Build and operate cutting-edge synthetic monitoring systems for global users.
- Company: Join Grafana Labs, a leader in open observability with a remote-first culture.
- Benefits: Enjoy competitive salary, equity, 30 days annual leave, and a supportive work environment.
- Other info: Collaborative team culture with opportunities for career growth and innovation.
- Why this job: Make a real impact by developing reliable systems that enhance user experiences.
- Qualifications: Strong Go programming skills and experience in backend systems are essential.
The predicted salary is between 91000 - 114000 £ per year.
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 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. 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.
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. 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 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. 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.
What you'll be doing:
- 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.
- 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, 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.
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.
- 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.
- Operational mindset.
- You are a systems thinker.
- Pragmatism and short feedback loops.
- You have a good understanding of a software development process that takes a user-centered approach.
- You use AI tools as a natural part of your engineering workflow.
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.
Why You’ll Thrive at Grafana Labs:
- 100% Remote, Global Culture.
- Scaling Organization.
- Transparent Communication.
- Innovation-Driven.
- Open Source Roots.
- Empowered Teams.
- Career Growth Pathways.
- Approachable Leadership.
- Passionate People.
- In-Person onboarding.
- Balance is Key.
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.
Software Engineer - Synthetic Monitoring | UK | Remote employer: Embedded Shishya
Grafana Labs is an exceptional employer, offering a fully remote work environment that fosters collaboration among a diverse global team. With a strong emphasis on innovation and developer productivity, employees benefit from modern tools and a culture that values autonomy and career growth. The company prioritises work-life balance with generous leave policies and a commitment to transparency and inclusivity, making it a rewarding place for passionate individuals to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - Synthetic Monitoring | UK | Remote
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We think you need these skills to ace Software Engineer - Synthetic Monitoring | UK | Remote
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Embedded Shishya.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Embedded Shishya and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Embedded Shishya
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Embedded Shishya uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.