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In this role, a Staff Software Engineer will build and deploy new features in Grafana's observability platform, maintain system performance, mentor teammates, and influence project roadmaps.

The Senior Software Engineer will develop AI-driven internal tools for automation across Sales, Customer Success, and Marketing, ensuring scalable workflows and system integrations with various platforms.

The Staff Backend Engineer will enhance Grafana backend services, deliver new functionalities, mentor junior engineers, and maintain high-quality features for both Cloud and On-Prem customers.

The Observability Architect at Grafana Labs will lead technical partnerships with clients, guiding implementation of observability solutions, managing customer relationships, and improving adoption of products through training and strategic advice.

You will code new features, improve operational systems, author design documents, mentor team members, and manage customer experience.

The role involves leading AI-driven nurture programs, executing multi-channel campaigns, and analyzing data to enhance demand generation for Grafana Labs.

The Staff AI Engineer will build AI solutions for People programs, focusing on insights from People data and system integration while ensuring data governance and responsible AI practices.

Lead reliability and DevOps/SRE practices for Grafana Cloud k6, establishing SLIs/SLOs, incident response, observability, and operational standards. Guide design and operation of large-scale distributed systems, improve reliability through metrics and runbooks, and mentor teams toward operational ownership while expanding into broader product and architectural leadership.

Build and operate Kubernetes-based platform automation for provisioning CSP resources, networking, scheduling, and autoscaling. Maintain Crossplane compositions and Terraform modules, collaborate with application teams, participate in on-call rotations, and improve platform performance, reliability, and efficiency at scale.

The role involves developing high-performance AI features for observability, rapid prototyping, and cross-functional collaboration, aimed at improving incident response and system behavior understanding.