Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
AWS
Azure
Communication @ 7
Distributed Systems
Docker @ 4
GCP
Go @ 4
Grafana @ 4
IaC
Kubernetes @ 4
Microservices
Prometheus @ 4
Python @ 4
Rust @ 4
SRE @ 3
Security
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Grafana Labs is seeking a Senior Backend Engineer to join the Databases team, which owns the telemetry databases powering Grafana Cloud, including Mimir for metrics, Loki for logs, Tempo for traces, and Pyroscope for profiles. These open-source, multi-tenant distributed systems are implemented in Go and run on Kubernetes across GCP, Azure, and AWS.
The role is remote and open to applicants based in Spain, Ireland, Germany, the United Kingdom, or Sweden.
Responsibilities
- Influence the product roadmap and career objectives.
- Work with the team to deliver new features and iterate based on results.
- Drive projects from initial ideation through operation in customer environments.
- Contribute to open-source projects, including projects outside the direct scope of the team.
- Design, build, operate, and maintain critical systems, taking ownership of reliability, performance, and availability.
- Participate in on-call rotations and take ownership of operated services.
- Support team members, participate in design discussions, and collaborate effectively in a remote environment.
- Develop a deeper understanding of Grafana Cloud, its customers, and the codebase of a large distributed system.
- Use modern AI coding assistants for prototyping, test generation, refactoring, documentation, and incident follow-ups, subject to security guidelines and code-quality standards.
Requirements
- Solid experience with at least one programming language. Grafana Labs primarily uses Go; Python, C, C++, Rust, or similar experience is also relevant.
- Experience delivering projects from requirements gathering and brainstorming through product delivery in a self-directed manner.
- Experience developing software that runs in the cloud or experience with systems engineering.
- Experience writing clean, robust, performant, and maintainable software.
- A self-starting attitude and bias toward action.
- Customer focus and an interest in creating intuitive products that meet customer needs.
- Pragmatic problem-solving skills, including breaking down complex challenges, delivering modular solutions, and iterating based on feedback.
- Strong communication and collaboration skills in a fully remote team.
Bonus Skills
- Experience with Kubernetes and/or Docker.
- Experience using Grafana and Prometheus in operational roles, on-call work, or personal hobby and homelab projects.
- Exposure to microservices architecture and distributed systems.
- Familiarity with on-call work, operations, SRE tasks, or infrastructure as code.
Benefits
- Equity and bonus, where applicable.
- Remote-first, global culture.
- Company-funded usage budget for AI coding assistants.
- In-person onboarding.
- Global annual leave policy of 30 days per year, including three Grafana Shutdown Days.
- Career growth opportunities and transparent communication.
Grafana Labs is an equal opportunities employer. The company may use AI tools to assist with matching information in CVs to job postings, while the recruitment team continues to review applications manually.
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