AI summary: Builds and provisions infrastructure, storage, networking, and Kubernetes clusters to support Grafana's observability platform at scale.
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 Cloudâs 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 â including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce â 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 weâre 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.
Weâre 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 thatâs okay. If this role excites you, weâd love you to raise your hand for what could be a truly career-defining opportunity.
About our Platform: Grafana Cloud moves millions of metrics, log lines, and traces per second from our customersâ environments into a highly available, low-latency stack that processes and stores this data, and serves them to dashboards and alerting tools. We aim to grow this to hundreds of millions per second, and itâs critical that as we grow, we improve our performance, increase our reliability, and, of course, do it efficiently and effectively.
The Internal Engineering Platform (IEP) delivered by the Foundations group provides application engineers with the tools, systems and Kubernetes clusters they need to build, deploy and run their workloads.
We are hiring an engineer as part of the creation of a new Foundationâs âMetalâ squad. This squad will be responsible for building and provisioning resources including storage, networking and Kubernetes clusters in new environments, starting with our own physical hardware. They will provide a Kubernetes control plane and underlying resources, outside public Cloud, to the rest of Engineering.
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.
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.
Datacenter experience.
Participation in an on-call rotation.
What Youâll Be Doing:
Bonus Points For:
Experience with Cluster-API, Tinkerbell, Talos and/or Ceph
Youâve worked in or on open source, or other community-based projects previously. At Grafana Labs, âOSS is in our DNAâ.
Experience with a few CSPs. We run Grafana Cloud on AWS, GCP, and Azure using eachâs managed Kubernetes service - EKS, GKE, AKS.
Experience operating and managing workloads on Kubernetes. We use Tanka for configuration management with Jsonnet.
Familiarity with Kubernetes scheduling and projects like Karpenter.
Terraform and/or Crossplane experience. We have mixed usage - each has its strengths.
Enjoys programming in Go! We love building our own tools, utilities, exporters, etc. that suit our needs and otherwise donât exist (and open sourcing them).
Maybe thereâs something missing in this job description that you think you might bring to our table? Feel free to let us know!
In Spain, the compensation range for this role is âŹ65,280 - âŹ78,336. 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 Grafana Labsâ success. We believe in shared outcomesâRSUs 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 marketâs defined pay range & benefits at the beginning of the process.
Why Youâll 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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