Backend Engineer - Grafana Enterprise | US | Remote

Remote Position: Candidates must be located in the US or Canada.

The Grafana Enterprise team is a diverse group of technologists dedicated to building scalable, secure, and multi‑tenant backend infrastructure for large‑scale operators. The role focuses on Go‑based services that power Grafana’s enterprise offering.

• Earning the trust of our large‑scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives
• Designing and leading the development of backend services, distributed systems, and enterprise features at scale
• Driving continuous improvement of our engineering culture through words and actions
• Driving projects from initial ideation through the development lifecycle to production
• Contributing to the scalability, reliability, security, and multi‑tenancy of the Grafana platform trusted by some of the world's largest operators
• Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on‑call rotations. (Yes, we prioritize ops load reduction.)
• Hiring and developing the best engineers to build the future of Grafana
• Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs
• As we are remote‑first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must.

• You work well as a communicative member of a team of engineering professionals.
• You earn trust by saying what you mean and doing what you say.
• You are customer focused and especially attuned to the needs of large‑scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards.
• You insist on the highest standards and work to develop the skills and knowledge of your fellow team members.
• You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver.
• You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively.

• Hiring and developing the best engineers we can to deliver the future of Observability.
• Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale.
• Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers.
• Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end‑to‑end solutions.
• Driving scalability and reliability improvements that matter to large‑scale operators running Grafana in regulated, high‑availability environments.
• Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions.
• Advocating for our customers at every stage of the development lifecycle.

• Deep professional experience writing production services, from ideation through to production operations at scale.
• Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade‑offs that come with operating at scale.
• Demonstrated experience designing and operating systems for large‑scale, high‑traffic, high‑availability, or multi‑tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms.
• Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries.
• Strong database skills, such as Postgre
  
  SQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale.
• Experience with large‑scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale.
• Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads…