Software Engineer - Platform Productivity
Grafana Labs · United Kingdom ·
- Work mode
- Remote
- Category
- Software engineering
- Company size
- 501-1000
Grafana Labs · United Kingdom ·
Builds and maintains internal tools and platforms to improve developer productivity for Grafana’s open-source observability products.
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 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 living in UK time zones only at this time.
Grafana Cloud moves millions of metrics, log lines, and traces per second from our customers' environments into a highly available, low-latency stack that processes and stores these data, and serves them to dashboards and alerting tools. We aim to grow this to hundreds of millions per second, and it's critical that as we grow, we improve our performance, increase our reliability, and, of course, do it efficiently and effectively.
The Internal Engineering Platform delivered by the Platform department provides application engineers with the tools, systems and Kubernetes clusters they need to build, deploy and run their workloads. Platform roles at Grafana Labs have an eye for engineers with a passion for performance and reliability, and who enjoy taking projects from conception to production. We organize ourselves into squads to allow focus on Cloud Infrastructure, Networking and Security; engineering Productivity; Capacity management, Client Administrative Tooling (CAT); and US Federal compliance.
Because we deploy production services, we have on-call rotations to ensure the health of the system. Everyone at Grafana Labs tries to incorporate and use our product line up into their day-to-day, so being on call is an important way to understand our system and how people use our products.
What You’ll Be Doing:
We are hiring for the Platform Productivity squad. The squad is mostly responsible for helping our internal engineers release their software onto our infrastructure, in secure and measurable ways. They lead automation of the release processes (anywhere from CI/CD to bootstrapping) and help our internal engineering teams get on board with them using ‘golden path’ techniques, but also helping edge cases and making sure that teams can get the most out of our tools.
At the end of the day, we’re the Platform Team for the teams that are building some of the most cherished observability tools– from Grafana, Mimir and Loki, to Tempo.
The squad is responsible for setting its own roadmap, and as a part of the team you'll have a part to play in that process. You'll help us maintain, improve and extend what we already have. You'll be involved in choosing what we focus on next and, just as importantly, when and how to gracefully sunset systems which are no longer needed. Your responsibilities will also include helping the team to design, compare, and choose appropriate solutions for (at least some) of the following things:
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.
Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.
A few of our upcoming projects:
What Makes You a Great Fit:
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.
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, looking at developer feedback, testing and deployment, all the way through to decommissioning. We appreciate engineers who enjoy looking at the big picture, and also notice the details of the brush strokes. You're a flexible software engineer. In a typical day, we might spend time responding to incidents, integrating existing systems, or designing and implementing our own systems. While our primary language is Go, we value flexibility and we'll choose the best tool for the job, even if that is a shell script.
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. Kubernetes and Docker are what we use, mostly. We also work with a lot of Infrastructure as Code, so be sure to check out grafana/tanka.
Requirements:
Compensation & Rewards:
In the United Kingdom, the Base compensation range for this role is GBP91,755- GBP110,106. 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.
All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*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:
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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